DeeplearningUniversityBibliography.bib

% Deep Learning Bibliography with publications from 2014
% additional selection criteria is that they contain the word GPU

@inproceedings{dong2014adaptive,
  keywords = {Sentiment Analysis,Natural Language Processing},
  title={Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis},
  author={Dong, Li and Wei, Furu and Zhou, Ming and Xu, Ke},
  booktitle={Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI)},
  year={2014}
}

@inproceedings{dong2014adarnn,
  keywords = {Sentiment Analysis,Natural Language Processing},
  title={Adaptive recursive neural network for target-dependent twitter sentiment classification},
  author={Dong, Li and Wei, Furu and Tan, Chuanqi and Tang, Duyu and Zhou, Ming and Xu, Ke},
  booktitle={Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},
  pages={49--54},
  year={2014}
}

@article{zou2014mariana,
  keywords = {Platform, Applications},
  title={Mariana: Tencent Deep Learning Platform and its Applications},
  author={Zou, Yongqiang and Jin, Xing and Li, Yi and Guo, Zhimao and Wang, Eryu and Xiao, Bin},
  journal={Proceedings of the VLDB Endowment},
  volume={7},
  number={13},
  year={2014}
  }
  
  
@article{martinez2014should,
  keywords = {Speech Recognition},
  title={Should deep neural nets have ears? The role of auditory features in deep learning approaches},
  author={Martinez, Angel Mario Castro and Moritz, Niko and Meyer, Bernd T},
  year={2014}
  }
  
  
@inproceedings{chen2014fast,
  keywords = {GPU},
  title={A fast deep learning system using GPU},
  author={Chen, Zhilu and Wang, Jing and He, Haibo and Huang, Xinming},
  booktitle={Circuits and Systems (ISCAS), 2014 IEEE International Symposium on},
  pages={1552--1555},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{song2014deep,
  keywords = {Face Recognition},
  title={Deep learning for real-time robust facial expression recognition on a smartphone},
  author={Song, Inchul and Kim, Hyun-Jun and Jeon, Paul Barom},
  booktitle={Consumer Electronics (ICCE), 2014 IEEE International Conference on},
  pages={564--567},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{wiesler2014mean,
  keywords = {Algorithm, Stochastic Gradient},
  title={Mean-normalized stochastic gradient for large-scale deep learning},
  author={Wiesler, Simon and Richard, Alexander and Schluter, Ralf and Ney, Hermann},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={180--184},
  year={2014},
  organization={IEEE}
  }
  
  
@article{maas2014increasing,
  keywords = {Speech Recognition},
  title={Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition},
  author={Maas, Andrew L and Hannun, Awni Y and Lengerich, Christopher T and Qi, Peng and Jurafsky, Daniel and Ng, Andrew Y},
  journal={arXiv preprint arXiv:1406.7806},
  year={2014}
  }
  
  
@inproceedings{sun2014m2c,
  keywords = {Mobile, Energy Efficient},
  title={M2C: Energy efficient mobile cloud system for deep learning},
  author={Sun, Kai and Chen, Zhikui and Ren, Jiankang and Yang, Song and Li, Jing},
  booktitle={Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on},
  pages={167--168},
  year={2014},
  organization={IEEE}
  }
  
  
@article{leung2014deep,
  keywords = {Bioinformatics},
  title={Deep learning of the tissue-regulated splicing code},
  author={Leung, Michael KK and Xiong, Hui Yuan and Lee, Leo J and Frey, Brendan J},
  journal={Bioinformatics},
  volume={30},
  number={12},
  pages={i121--i129},
  year={2014},
  publisher={Oxford Univ Press}
  }
  
  
@article{canny2014interactive,
  keywords = {Misc},
  title={Interactive Machine Learning},
  author={Canny, John},
  journal={University of California, Berkeley},
  year={2014}
  }
  
  
@article{schmidhuber2014deep,
  keywords = {Overview},
  title={Deep Learning in Neural Networks: An Overview},
  author={Schmidhuber, J{\"u}rgen},
  journal={arXiv preprint arXiv:1404.7828},
  year={2014}
  }
  
  
@article{sukhbaatar2014learning,
  keywords = {Noisy Data},
  title={Learning from Noisy Labels with Deep Neural Networks},
  author={Sukhbaatar, Sainbayar and Fergus, Rob},
  journal={arXiv preprint arXiv:1406.2080},
  year={2014}
  }
  
  
@article{zhao2014gpu,
  keywords = {GPU,Simulation},
  title={GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation},
  author={Zhao, Yuan and Zhang, Xinchang and Zhang, Zhen and Wang, Lu and Hu, Yueming},
  year={2014},
  publisher={hgpu. org}
  }
  
  
@article{schmidhuber2014draft,
  keywords = {Overview},
  title={Draft: Deep Learning in Neural Networks: An Overview},
  author={Schmidhuber, J{\"u}rgen},
  year={2014}
  }
  
  
@misc{jones2014learning,
  keywords = {Misc},
  title={THE LEARNING MACHINES},
  author={Jones, Nicola},
  year={2014},
  publisher={Nature Publishing Group MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}
  }
  
  
@inproceedings{ramasubramanian2014spindle,
  keywords = {Infrastructure,Neuromorphic},
  title={SPINDLE: SPINtronic deep learning engine for large-scale neuromorphic computing},
  author={Ramasubramanian, Shankar Ganesh and Venkatesan, Rangharajan and Sharad, Mrigank and Roy, Kaushik and Raghunathan, Anand},
  booktitle={Proceedings of the 2014 international symposium on Low power electronics and design},
  pages={15--20},
  year={2014},
  organization={ACM}
  }
  
  
@article{cho2014exponentially,
  keywords = {Algorithm},
  title={Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning},
  author={Cho, Kyunghyun and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.7362},
  year={2014}
  }
  
  
@article{young2014hierarchical,
  keywords = {Feature Extraction},
  title={Hierarchical spatiotemporal feature extraction using recurrent online clustering},
  author={Young, SR and Davis, A and Mishtal, Aaron and Arel, Itamar},
  journal={Pattern Recognition Letters},
  volume={37},
  pages={115--123},
  year={2014},
  publisher={Elsevier}
  }
  
  
@inproceedings{zhang2014supervised,
  keywords = {Architecture},
  title={Supervised deep learning with auxiliary networks},
  author={Zhang, Junbo and Tian, Guangjian and Mu, Yadong and Fan, Wei},
  booktitle={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={353--361},
  year={2014},
  organization={ACM}
  }
  
  
@inproceedings{huang2014deep,
  keywords = {Speech Recognition},
  title={Deep learning vector quantization for acoustic information retrieval},
  author={Huang, Zhen and Weng, Chao and Li, Kehuang and Cheng, You-Chi and Lee, Chin-Hui},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={1350--1354},
  year={2014},
  organization={IEEE}
  }
  
  
@incollection{li2014deep,
  keywords = {Image Recognition, Healthcare, Brain},
  title={Deep learning based imaging data completion for improved brain disease diagnosis},
  author={Li, Rongjian and Zhang, Wenlu and Suk, Heung-Il and Wang, Li and Li, Jiang and Shen, Dinggang and Ji, Shuiwang},
  booktitle={Medical Image Computing and Computer-Assisted Intervention--MICCAI 2014},
  pages={305--312},
  year={2014},
  publisher={Springer}
  }
  
@article{zhu2014deep,
  keywords = {Face Recognition},
  title={Deep learning multi-view representation for face recognition},
  author={Zhu, Zhenyao and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  journal={arXiv preprint arXiv:1406.6947},
  year={2014}
  }
  
  
@article{jia2014caffe,
  keywords = {Feature Extraction},
  title={Caffe: Convolutional Architecture for Fast Feature Embedding},
  author={Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  journal={arXiv preprint arXiv:1408.5093},
  year={2014}
  }
  
  
@article{baldi2014searching,
  keywords = {Physics},
  title={Searching for exotic particles in high-energy physics with deep learning},
  author={Baldi, P and Sadowski, P and Whiteson, D},
  journal={Nature communications},
  volume={5},
  year={2014},
  publisher={Nature Publishing Group}
  }
  
  
@article{wang2014improving,
  keywords = {Recommender Systems},
  title={Improving Content-based and Hybrid Music Recommendation using Deep Learning},
  author={Wang, Xinxi and Wang, Ye},
  year={2014}
  }
  
  
@techreport{sermanet2014deep,
  keywords = {Image Recognition,Speech Recognition},
  title={A Deep Learning Pipeline for Image Understanding and Acoustic Modeling},
  author={Sermanet, Pierre},
  year={2014},
  institution={DTIC Document}
  }
  
  
@incollection{roth2014new,
  keywords = {Convolutional Network,Healthcare},
  title={A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations},
  author={Roth, Holger R and Lu, Le and Seff, Ari and Cherry, Kevin M and Hoffman, Joanne and Wang, Shijun and Liu, Jiamin and Turkbey, Evrim and Summers, Ronald M},
  booktitle={Medical Image Computing and Computer-Assisted Intervention--MICCAI 2014},
  pages={520--527},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{gokhale2014240,
  keywords = {Mobile},
  title={A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks},
  author={Gokhale, Vinayak and Jin, Jonghoon and Dundar, Aysegul and Martini, Berin and Culurciello, Eugenio},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={682--687},
  year={2014}
  }
  
  
@incollection{dong2014learning,
  keywords = {Image Recognition, Convolutional Network},
  title={Learning a deep convolutional network for image super-resolution},
  author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
  booktitle={Computer Vision--ECCV 2014},
  pages={184--199},
  year={2014},
  publisher={Springer}
  }
  
  
@article{lopes2014towards,
  keywords = {GPU, Deep Belief Network},
  title={Towards adaptive learning with improved convergence of deep belief networks on graphics processing units},
  author={Lopes, Noel and Ribeiro, Bernardete},
  journal={Pattern Recognition},
  volume={47},
  number={1},
  pages={114--127},
  year={2014},
  publisher={Elsevier}
  }
  
  
@article{sun2014deep,
  keywords = {Face Recognition},
  title={Deep learning face representation by joint identification-verification},
  author={Sun, Yi and Wang, Xiaogang and Tang, Xiaoou},
  journal={arXiv preprint arXiv:1406.4773},
  year={2014}
  }
  
  
@article{sainath2014parallel,
  keywords = {Speech Recognition},
  title={Parallel Deep Neural Network Training for LVCSR Tasks using Blue Gene/Q},
  author={Sainath, Tara N and Chung, I-hsin and Ramabhadran, Bhuvana and Picheny, Michael and Gunnels, John and Kingsbury, Brian and Saon, George and Austel, Vernon and Chaudhari, Upendra},
  year={2014}
  }
  
  
@article{sutskever2014sequence,
  keywords = {Machine Translation},
  title={Sequence to Sequence Learning with Neural Networks},
  author={Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V},
  journal={arXiv preprint arXiv:1409.3215}, % http://arxiv.org/abs/1409.3215
  year={2014}
  }
  
  
@inproceedings{huang2014deep,
  keywords = {Algorithm},
  title={Deep process neural network for temporal deep learning},
  author={Huang, Wenhao and Hong, Haikun and Song, Guojie and Xie, Kunqing},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={465--472},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{xu2014deep,
  keywords = {Feature Extraction,Medicine},
  title={Deep learning of feature representation with multiple instance learning for medical image analysis},
  author={Xu, Yan and Mo, Tao and Feng, Qiwei and Zhong, Peilin and Lai, Maode and Chang, Eric I and others},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={1626--1630},
  year={2014},
  organization={IEEE}
  }
  
  
@article{seide20141,
  keywords = {Speech Recognition, Stochastic Gradient Descent},
  title={1-Bit Stochastic Gradient Descent and its Application to Data-Parallel Distributed Training of Speech DNNs},
  author={Seide, Frank and Fu, Hao and Droppo, Jasha and Li, Gang and Yu, Dong},
  year={2014}
  }
  
  
@incollection{sanchez2014deep,
  keywords = {Speech Recognition, Emotion},
  title={Deep Learning for Emotional Speech Recognition},
  author={S{\'a}nchez-Guti{\'e}rrez, M{\'a}ximo E and Albornoz, E Marcelo and Martinez-Licona, Fabiola and Rufiner, H Leonardo and Goddard, John},
  booktitle={Pattern Recognition},
  pages={311--320},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{zhang2014improving,
  keywords = {Face Detection,Convolutional Network},
  title={Improving multiview face detection with multi-task deep convolutional neural networks},
  author={Zhang, Cha and Zhang, Zhengyou},
  booktitle={Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on},
  pages={1036--1041},
  year={2014},
  organization={IEEE}
  }
  
  
@article{deng2014tutorial,
  keywords = {Survey},
  title={A tutorial survey of architectures, algorithms, and applications for deep learning},
  author={Deng, Li},
  journal={APSIPA Transactions on Signal and Information Processing},
  volume={3},
  pages={e2},
  year={2014},
  publisher={Cambridge Univ Press}
  }
  
  
@inproceedings{zhang2014improving,
  keywords = {Speech Recognition},
  title={Improving deep neural network acoustic models using generalized maxout networks},
  author={Zhang, Xiaohui and Trmal, Jan and Povey, Daniel and Khudanpur, Sanjeev},
  booktitle={Proc. ICASSP},
  year={2014}
  }
  
  
@article{baldi2014deep,
  keywords = {Physics},
  title={Deep Learning in High-Energy Physics: Improving the Search for Exotic Particles},
  author={Baldi, Pierre and Sadowski, Peter and Whiteson, Daniel},
  journal={arXiv preprint arXiv:1402.4735},
  year={2014}
  }
  
  
@article{langkvist2014review,
  keywords = {Feature Extraction,Time Series},
  title={A review of unsupervised feature learning and deep learning for time-series modeling},
  author={L{\"a}ngkvist, Martin and Karlsson, Lars and Loutfi, Amy},
  journal={Pattern Recognition Letters},
  volume={42},
  pages={11--24},
  year={2014},
  publisher={Elsevier}
  }
  
  
@inproceedings{xu2014cross,
  keywords = {Image Recognition},
  title={Cross-media relevance mining for evaluating text-based image search engine},
  author={Xu, Zhongwen and Yang, Yi and Kassim, Ashraf and Yan, Shuicheng},
  booktitle={Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on},
  pages={1--4},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{wiesler2014rasr,
  keywords = {Speech Recognition},
  title={RASR/NN: The RWTH neural network toolkit for speech recognition},
  author={Wiesler, Simon and Richard, Alexander and Golik, Pavel and Schluter, Ralf and Ney, Hermann},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={3281--3285},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{wang2014energy,
  keywords = {Energy Efficient},
  title={Energy efficient neural networks for big data analytics},
  author={Wang, Yu and Li, Boxun and Luo, Rong and Chen, Yiran and Xu, Ningyi and Yang, Huazhong},
  booktitle={Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014},
  pages={1--2},
  year={2014},
  organization={IEEE}
  }
  
  
@article{roth2014detection,
  keywords = {Healthcare,Medicine,Convolutional Network},
  title={Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications},
  author={Roth, Holger R and Yao, Jianhua and Lu, Le and Stieger, James and Burns, Joseph E and Summers, Ronald M},
  journal={arXiv preprint arXiv:1407.5976},
  year={2014}
  }
  
  
@inproceedings{turner2014deep,
  keywords = {Healthcare, Medicine, Deep Belief Network},
  title={Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection},
  author={Turner, JT and Page, Adam and Mohsenin, Tinoosh and Oates, Tim},
  booktitle={2014 AAAI Spring Symposium Series},
  year={2014}
  }
  
  
@inproceedings{stober2014does,
  keywords = {Brain Waves},
  title={Does the beat go on?: identifying rhythms from brain waves recorded after their auditory presentation},
  author={Stober, Sebastian and Cameron, Daniel J and Grahn, Jessica A},
  booktitle={Proceedings of the 9th Audio Mostly: A Conference on Interaction With Sound},
  pages={23},
  year={2014},
  organization={ACM}
  }
  
  
@article{qin2014deep,
  keywords = {Image Recognition,3D},
  title={A deep learning approach to the classification of 3D CAD models},
  author={Qin, Fei-wei and Li, Lu-ye and Gao, Shu-ming and Yang, Xiao-ling and Chen, Xiang},
  journal={Journal of Zhejiang University SCIENCE C},
  volume={15},
  number={2},
  pages={91--106},
  year={2014},
  publisher={Springer}
  }
  
  
@article{iandola2014densenet,
  keywords = {Platform,Convolutional Network},
  title={DenseNet: Implementing Efficient ConvNet Descriptor Pyramids},
  author={Iandola, Forrest and Moskewicz, Matt and Karayev, Sergey and Girshick, Ross and Darrell, Trevor and Keutzer, Kurt},
  journal={arXiv preprint arXiv:1404.1869},
  year={2014}
  }
  
  
  
@inproceedings{seide2014parallelizability,
  keywords = {Parallelization,Speech Recognition,Stochastic Gradient Descent},
  title={On Parallelizability of Stochastic Gradient Descent for Speech DNNs},
  author={Seide, Frank and Fu, Hao and Droppo, Jasha and Li, Gang and Yu, Dong},
  booktitle={Proc. ICASSP},
  year={2014}
  }
  
  
@article{silberstein2014gpus,
  keywords = {GPU,Parallelization},
  title={GPUs: High-performance Accelerators for Parallel Applications: The multicore transformation (Ubiquity symposium)},
  author={Silberstein, Mark},
  journal={Ubiquity},
  volume={2014},
  number={August},
  pages={1},
  year={2014},
  publisher={ACM}
  }
  
  
@article{maas2014first,
  keywords = {Speech Recognition},
  title={First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs},
  author={Maas, Andrew L and Hannun, Awni Y and Jurafsky, Daniel and Ng, Andrew Y},
  journal={arXiv preprint arXiv:1408.2873},
  year={2014}
  }
  
  
@inproceedings{koutnik2014evolving,
  keywords = {Reinforcement Learning,Convolutional Network},
  title={Evolving deep unsupervised convolutional networks for vision-based reinforcement learning},
  author={Koutn{\'\i}k, Jan and Schmidhuber, Juergen and Gomez, Faustino},
  booktitle={Proceedings of the 2014 conference on Genetic and evolutionary computation},
  pages={541--548},
  year={2014},
  organization={ACM}
  }
  
  
@inproceedings{kandaswamy2014improving,
  keywords = {Performance Improvement},
  title={Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference},
  author={Kandaswamy, Chetak and Silva, Lu{\i}s and Alexandre, Lu{\i}s and Sa, J Marques and Santos, JM},
  booktitle={Proceedings of the 24th International Conference on Artificial Neural Networks},
  year={2014}
  }
  
  
@inproceedings{tu2014challenge,
  keywords = {Video,Feature Extraction},
  title={Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation},
  author={Tu, Jian and Wu, Zuxuan and Dai, Qi and Jiang, Yu-Gang and Xue, Xiangyang},
  booktitle={Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on},
  pages={1--6},
  year={2014},
  organization={IEEE}
  }
  
  
@article{he2014deep,
  keywords = {Misc},
  title={Deep Learning},
  author={He, Xiaodong and Gao, Jianfeng and Deng, Li},
  year={2014}
  }
  
  
@article{zhang2014learning,
  keywords = {Face Recognition},
  title={Learning and Transferring Multi-task Deep Representation for Face Alignment},
  author={Zhang, Zhanpeng and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
  journal={arXiv preprint arXiv:1408.3967},
  year={2014}
  }
  
  
@inproceedings{bian2014reducing,
  keywords = {Video,Convolutional Network},
  title={Reducing structure of deep Convolutional Neural Networks for Huawei Accurate and Fast Mobile Video Annotation Challenge},
  author={Bian, Yunlong and Dong, Yuan and Bai, Hongliang and Liu, Bo and Wang, Kai and Liu, Yinan},
  booktitle={Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on},
  pages={1--6},
  year={2014},
  organization={IEEE}
  }
  
@inproceedings{gu2014implementation,
  keywords = {Platform},
  title={Implementation and evaluation of deep neural networks (DNN) on mainstream heterogeneous systems},
  author={Gu, Junli and Zhu, Maohua and Zhou, Zhitao and Zhang, Feng and Lin, Zhen and Zhang, Qianfeng and Breternitz, Mauricio},
  booktitle={Proceedings of 5th Asia-Pacific Workshop on Systems},
  pages={12},
  year={2014},
  organization={ACM}
  }
  
  
@article{noda2014multimodal,
  keywords = {Robotics},
  title={Multimodal integration learning of robot behavior using deep neural networks},
  author={Noda, Kuniaki and Arie, Hiroaki and Suga, Yuki and Ogata, Tetsuya},
  journal={Robotics and Autonomous Systems},
  volume={62},
  number={6},
  pages={721--736},
  year={2014},
  publisher={Elsevier}
  }
  
  
@incollection{zhang2014facial,
  keywords = {Face Recognition},
  title={Facial Landmark Detection by Deep Multi-task Learning},
  author={Zhang, Zhanpeng and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
  booktitle={Computer Vision--ECCV 2014},
  pages={94--108},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{ribeiro2014signature,
  keywords = {Image Recognition},
  title={Signature identification via efficient feature selection and GPU-based SVM classifier},
  author={Ribeiro, Bernardete and Lopes, Noel and Goncalves, Joao},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={1138--1145},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{besaw2014deep,
  keywords = {Mine Detection},
  title={Deep learning algorithms for detecting explosive hazards in ground penetrating radar data},
  author={Besaw, Lance E and Stimac, Philip J},
  booktitle={SPIE Defense+ Security},
  pages={90720Y--90720Y},
  year={2014},
  organization={International Society for Optics and Photonics}
  }
  
  
@inproceedings{wang2014scalable,
  keywords = {Platform},
  title={A scalable and topology configurable protocol for distributed parameter synchronization},
  author={Wang, Minjie and Zhou, Hucheng and Guo, Minyi and Zhang, Zheng},
  booktitle={Proceedings of 5th Asia-Pacific Workshop on Systems},
  pages={13},
  year={2014},
  organization={ACM}
  }
  
  
@inproceedings{page2014comparing,
  keywords = {Healthcare,Medicine},
  title={Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods},
  author={Page, Adam and Turner, JT and Mohsenin, Tinoosh and Oates, Tim},
  booktitle={The Twenty-Seventh International Flairs Conference},
  year={2014}
  }
  
  
@inproceedings{li2014large,
  keywords = {GPU,Platform},
  title={Large scale recurrent neural network on GPU},
  author={Li, Boxun and Zhou, Erjin and Huang, Bo and Duan, Jiayi and Wang, Yu and Xu, Ningyi and Zhang, Jiaxing and Yang, Huazhong},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={4062--4069},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{you2014exploring,
  keywords = {Stochastic Gradient Descent},
  title={Exploring one pass learning for deep neural network training with averaged stochastic gradient descent},
  author={You, Zhao and Wang, Xiaorui and Xu, Bo},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={6854--6858},
  year={2014},
  organization={IEEE}
  }
  
  
@article{chan2014distributed,
  keywords = {Platform,Convolutional Network,Asynchronous},
  title={Distributed Asynchronous Optimization of Convolutional Neural Networks},
  author={Chan, William and Lane, Ian and Gradients, Sparse and Momentum, Master and Decay, Gradient},
  year={2014}
  }
  
  
@inproceedings{huang2014kernel,
  keywords = {Kernel Methods},
  title={Kernel methods match deep neural networks on timit},
  author={Huang, Po-Sen and Avron, Haim and Sainath, Tara N and Sindhwani, Vikas and Ramabhadran, Bhuvana},
  booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing},
  volume={1},
  pages={6},
  year={2014}
  }
  
  
@article{lu2014analog,
  keywords = {Hardware},
  title={An Analog VLSI Deep Machine Learning Implementation},
  author={Lu, Junjie},
  year={2014}
  }
  
  
@article{van2014analysis,
  keywords = {Architecture},
  title={Analysis of Deep Convolutional Neural Network Architectures},
  author={van Doorn, Joost},
  year={2014}
  }
  
  
@article{bottou2014machine,
  keywords = {Misc},
  title={From machine learning to machine reasoning},
  author={Bottou, L{\'e}on},
  journal={Machine Learning},
  volume={94},
  number={2},
  pages={133--149},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{heigold2014asynchronous,
  keywords = {Stochastic Gradient Descent, Asynchronous},
  title={Asynchronous stochastic optimization for sequence training of deep neural networks},
  author={Heigold, Georg and McDermott, Erik and Vanhoucke, Vincent and Senior, Andrew and Bacchiani, Michiel},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={5587--5591},
  year={2014},
  organization={IEEE}
  }
  
  
@article{kim2014handwritten,
  keywords = {Image Recognition, Convolutional Network},
  title={Handwritten Hangul recognition using deep convolutional neural networks},
  author={Kim, In-Jung and Xie, Xiaohui},
  journal={International Journal on Document Analysis and Recognition (IJDAR)},
  pages={1--13},
  year={2014},
  publisher={Springer}
  }
  
  
@incollection{lopes2015adaptive,
  keywords = {Hardware,Multicore},
  title={Adaptive Many-Core Machines},
  author={Lopes, Noel and Ribeiro, Bernardete},
  booktitle={Machine Learning for Adaptive Many-Core Machines-A Practical Approach},
  pages={189--200},
  year={2015},
  publisher={Springer}
  }
  
  
@article{fuentes2014detection,
  keywords = {Network,GPU},
  title={Detection of retransmissions in 10G Ethernet using GPUs},
  author={Fuentes, Paula Roquero},
  year={2014},
  publisher={hgpu. org}
  }
  
  
@article{miao2014kaldi+,
  keywords = {Platform},
  title={Kaldi+ PDNN: Building DNN-based ASR Systems with Kaldi and PDNN},
  author={Miao, Yajie},
  journal={arXiv preprint arXiv:1401.6984},
  year={2014}
  }
  
  
@article{bruckner2014ml,
  keywords = {Image Recognition,Medicine,Healthcare},
  title={ML-o-scope: a diagnostic visualization system for deep machine learning pipelines},
  author={Bruckner, Daniel},
  year={2014}
  }
  
@incollection{cui2014deep,
  keywords = {Image Recognition},
  title={Deep Network Cascade for Image Super-resolution},
  author={Cui, Zhen and Chang, Hong and Shan, Shiguang and Zhong, Bineng and Chen, Xilin},
  booktitle={Computer Vision--ECCV 2014},
  pages={49--64},
  year={2014},
  publisher={Springer}
  }
  
  
@article{jaderberg2014speeding,
  keywords = {Performance Improvement},
  title={Speeding up Convolutional Neural Networks with Low Rank Expansions},
  author={Jaderberg, Max and Vedaldi, Andrea and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1405.3866},
  year={2014}
  }
  
  
@incollection{kawakami2014more,
  keywords = {GPU},
  title={More Faster Self-Organizing Maps by General Purpose on Graphics Processing Units},
  author={Kawakami, Shinji and Kamei, Keiji},
  booktitle={Soft Computing in Machine Learning},
  pages={41--51},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{tran2014learning,
  keywords = {Restricted Boltzmann Machines,Motion Detection},
  title={Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition},
  author={Tran, Son N and Benetos, Emmanouil and d'Avila Garcez, Artur},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={2123--2129},
  year={2014},
  organization={IEEE}
  }
  
  
@article{huang2014historical,
  keywords = {Speech Recognition},
  title={A historical perspective of speech recognition},
  author={Huang, Xuedong and Baker, James and Reddy, Raj},
  journal={Communications of the ACM},
  volume={57},
  number={1},
  pages={94--103},
  year={2014},
  publisher={ACM}
  }
  
  
@article{cho2014learning,
  keywords = {Machine Translation},
  title={Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation},
  author={Cho, Kyunghyun and van Merrienboer, Bart and Gulcehre, Caglar and Bougares, Fethi and Schwenk, Holger and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.1078},
  year={2014}
  }
  
  
@article{chatfield2014return,
  keywords = {Architecture,Convolutional Network},
  title={Return of the Devil in the Details: Delving Deep into Convolutional Nets},
  author={Chatfield, Ken and Simonyan, Karen and Vedaldi, Andrea and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1405.3531},
  year={2014}
  }
  
  
@article{shao2014learning,
  keywords = {Architecture,Convolutional Network},
  title={Learning Deep and Wide: A Spectral Method for Learning Deep Networks},
  author={Shao, L and Wu, D and Li, X},
  year={2014},
  publisher={IEEE}
  }
  
  
@inproceedings{zhang2014improving,
  keywords = {Speech Recognition,Platform},
  title={Improving deep neural networks for LVCSR using dropout and shrinking structure},
  author={Zhang, Shiliang and Bao, Yebo and Zhou, Pan and Jiang, Hui and Dai, Lirong},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={6849--6853},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{saon2014comparison,
  keywords = {Speech Recognition},
  title={A comparison of two optimization techniques for sequence discriminative training of deep neural networks},
  author={Saon, George and Soltau, Hagen},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={5567--5571},
  year={2014},
  organization={IEEE}
  }
  
  
@article{tompson2014joint,
  keywords = {Image Recognition,Convolutional Network},
  title={Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation},
  author={Tompson, Jonathan and Jain, Arjun and LeCun, Yann and Bregler, Christoph},
  journal={arXiv preprint arXiv:1406.2984},
  year={2014}
  }
  
  
@article{campbell2014using,
  keywords = {Speech Recognition, Deep Belief Network},
  title={Using Deep Belief Networks for Vector-Based Speaker Recognition},
  author={Campbell, WM},
  year={2014}
  }
  
  
@inproceedings{senior2014fine,
  keywords = {Speech Recognition},
  title={Fine context, low-rank, softplus deep neural networks for mobile speech recognition},
  author={Senior, Andrew and Lei, Xin},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={7644--7648},
  year={2014},
  organization={IEEE}
  }
  
  
@incollection{yao2014equivalence,
  keywords = {Algorithm},
  title={On the Equivalence Between Deep NADE and Generative Stochastic Networks},
  author={Yao, Li and Ozair, Sherjil and Cho, Kyunghyun and Bengio, Yoshua},
  booktitle={Machine Learning and Knowledge Discovery in Databases},
  pages={322--336},
  year={2014},
  publisher={Springer}
  }
  
  
@inproceedings{gao2014modeling,
  keywords = {Natural Language Processing},
  title={Modeling interestingness with deep neural networks},
  author={Gao, Jianfeng and Pantel, Patrick and Gamon, Michael and He, Xiaodong and Deng, Li and Shen, Yelong},
  booktitle={Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing},
  year={2014}
  }
  
  
@incollection{gulcehre2014learned,
  keywords = {Algorithm},
  title={Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks},
  author={Gulcehre, Caglar and Cho, Kyunghyun and Pascanu, Razvan and Bengio, Yoshua},
  booktitle={Machine Learning and Knowledge Discovery in Databases},
  pages={530--546},
  year={2014},
  publisher={Springer}
  }
  
  
@incollection{chu2014analysis,
  keywords = {Feature Extraction},
  title={Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks},
  author={Chu, Joseph Lin and Krzy{\.z}ak, Adam},
  booktitle={Advances in Artificial Intelligence},
  pages={59--70},
  year={2014},
  publisher={Springer}
  }
  
  
@article{kang2014statistical,
  keywords = {Speech Recognition, Deep Belief Network},
  title={Statistical Parametric Speech Synthesis using Weighted Multi-distribution Deep Belief Network},
  author={Kang, Shiyin and Meng, Helen},
  year={2014}
  }
  
  
@article{yi2014shared,
  keywords = {Face Recognition},
  title={Shared Representation Learning for Heterogeneous Face Recognition},
  author={Yi, Dong and Lei, Zhen and Liao, Shengcai and Li, Stan Z},
  journal={arXiv preprint arXiv:1406.1247},
  year={2014}
  }
  
  
@incollection{yan2014modeling,
  keywords = {Video},
  title={Modeling Video Dynamics with Deep Dynencoder},
  author={Yan, Xing and Chang, Hong and Shan, Shiguang and Chen, Xilin},
  booktitle={Computer Vision--ECCV 2014},
  pages={215--230},
  year={2014},
  publisher={Springer}
  }
  
@incollection{lopes2015deep,
  keywords = {Deep Belief Network},
  title={Deep Belief Networks (DBNs)},
  author={Lopes, Noel and Ribeiro, Bernardete},
  booktitle={Machine Learning for Adaptive Many-Core Machines-A Practical Approach},
  pages={155--186},
  year={2015},
  publisher={Springer}
  }
  
  
@article{denton2014exploiting,
  keywords = {Convolutional Network},
  title={Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation},
  author={Denton, Emily and Zaremba, Wojciech and Bruna, Joan and LeCun, Yann and Fergus, Rob},
  journal={arXiv preprint arXiv:1404.0736},
  year={2014}
  }
  
  
@article{tomar2014manifold,
  keywords = {Algorithm, Regularization},
  title={Manifold Regularized Deep Neural Networks},
  author={Tomar, Vikrant Singh and Rose, Richard C},
  journal={system},
  volume={1},
  pages={5},
  year={2014}
  }
  
  
@article{goodfellow2014generative,
  keywords = {Misc},
  title={Generative Adversarial Networks},
  author={Goodfellow, Ian J and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.2661},
  year={2014}
  }
  
  
@article{karpathy2014deep,
  keywords = {Image Recognition},
  title={Deep Fragment Embeddings for Bidirectional Image Sentence Mapping},
  author={Karpathy, Andrej and Joulin, Armand and Fei-Fei, Li},
  journal={arXiv preprint arXiv:1406.5679},
  year={2014}
  }
  
  
@article{papandreou2014deep,
  keywords = {Algorithm,Platform, Convolutional Network},
  title={Deep Epitomic Convolutional Neural Networks},
  author={Papandreou, George},
  journal={arXiv preprint arXiv:1406.2732},
  year={2014}
  }
  
  
@article{zhou2014deep,
  keywords = {Bioinformatics,Convolutional Network},
  title={Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction},
  author={Zhou, Jian and Troyanskaya, Olga G},
  journal={arXiv preprint arXiv:1403.1347},
  year={2014}
  }
  
  
@article{dong2014rankcnn,
  keywords = {Information Retrieval},
  title={RankCNN: When learning to rank encounters the pseudo preference feedback},
  author={Dong, Yuan and Huang, Chong and Liu, Wei},
  journal={Computer Standards \& Interfaces},
  volume={36},
  number={3},
  pages={554--562},
  year={2014},
  publisher={Elsevier}
  }
  
  
@inproceedings{conti2014brain,
  keywords = {Mobile,Energy Efficient},
  title={Brain-inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform},
  author={Conti, Francesco and Pullini, Antonio and Benini, Luca},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={610--615},
  year={2014}
  }
  
  
@inproceedings{meng2014noisy,
  keywords = {Misc},
  title={Noisy training for deep neural networks},
  author={Meng, Xiangtao and Liu, Chao and Zhang, Zhiyong and Wang, Dong},
  booktitle={Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit \& International Conference on},
  pages={16--20},
  year={2014},
  organization={IEEE}
  }
  
  
@incollection{lopes2015motivation,
  keywords = {Multicore,Hardware},
  title={Motivation and Preliminaries},
  author={Lopes, Noel and Ribeiro, Bernardete},
  booktitle={Machine Learning for Adaptive Many-Core Machines-A Practical Approach},
  pages={3--13},
  year={2015},
  publisher={Springer}
  }
  
  
@inproceedings{karpathy2014large,
  keywords = {Video, Convolutional Network},
  title={Large-scale video classification with convolutional neural networks},
  author={Karpathy, Andrej and Toderici, George and Shetty, Sanketh and Leung, Thomas and Sukthankar, Rahul and Fei-Fei, Li},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2014}
  }
  
  
@article{rahimi2014stavicta,
  keywords = {Misc},
  title={The STAVICTA Group Report for RepLab 2014 Reputation Dimensions Task},
  author={Rahimi, Afshin and Sahlgren, Magnus and Kerren, Andreas and Paradis, Carita},
  year={2014}
  }
  
  
@inproceedings{dos2014deep,
  keywords = {Natural Language Processing, Sentiment Analysis, Convolutional Network},
  title={Deep convolutional neural networks for sentiment analysis of short texts},
  author={dos Santos, C{\i}cero Nogueira and Gatti, Ma{\i}ra},
  booktitle={Proceedings of the 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland},
  year={2014}
  }
  
  
@inproceedings{santos2014learning,
  keywords = {Natural Language Processing, Part-of-speech},
  title={Learning Character-level Representations for Part-of-Speech Tagging},
  author={Santos, Cicero D and Zadrozny, Bianca},
  booktitle={Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
  pages={1818--1826},
  year={2014}
  }
  
  
@incollection{gupta2014learning,
  keywords = {Image Recognition, Feature Extraction},
  title={Learning Rich Features from RGB-D Images for Object Detection and Segmentation},
  author={Gupta, Saurabh and Girshick, Ross and Arbel{\'a}ez, Pablo and Malik, Jitendra},
  booktitle={Computer Vision--ECCV 2014},
  pages={345--360},
  year={2014},
  publisher={Springer}
  }
  
  
@article{zou2014generic,
  keywords = {Image Recognition},
  title={Generic Object Detection With Dense Neural Patterns and Regionlets},
  author={Zou, Will Y and Wang, Xiaoyu and Sun, Miao and Lin, Yuanqing},
  journal={arXiv preprint arXiv:1404.4316},
  year={2014}
  }
  
  
@article{young2014impact,
  keywords = {Misc},
  title={On the Impact of Approximate Computation in an Analog DeSTIN Architecture},
  author={Young, Steven and Lu, Junjie and Holleman, Jeremy and Arel, Itamar},
  year={2014},
  publisher={IEEE}
  }
  
  
@article{li2014learning,
  keywords = {Misc},
  title={Learning Multi-Scale Representations for Material Classification},
  author={Li, Wenbin and Fritz, Mario},
  journal={arXiv preprint arXiv:1408.2938},
  year={2014}
  }
  
  
@article{makhzani2014winner,
  keywords = {Algorithm,Convolutional Network,Sparseness},
  title={A Winner-Take-All Method for Training Sparse Convolutional Autoencoders},
  author={Makhzani, Alireza and Frey, Brendan},
  journal={arXiv preprint arXiv:1409.2752},
  year={2014}
  }
  
@article{ouyang2014deepid,
  keywords = {Image Recognition,Platform,Convolutional Network},
  title={DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection},
  author={Ouyang, Wanli and Luo, Ping and Zeng, Xingyu and Qiu, Shi and Tian, Yonglong and Li, Hongsheng and Yang, Shuo and Wang, Zhe and Xiong, Yuanjun and Qian, Chen and others},
  journal={arXiv preprint arXiv:1409.3505},
  year={2014}
  }
  
@article{liu2014pruning,
  keywords = {Medicine,Healthcare},
  title={Pruning Deep Neural Networks by Optimal Brain Damage},
  author={Liu, Chao and Zhang, Zhiyong and Wang, Dong},
  year={2014}
  }
  
  
@article{zhang2014learning,
  keywords = {Restricted Boltzmann Machines},
  title={Learning ensemble classifiers via restricted Boltzmann machines},
  author={Zhang, Chun-Xia and Zhang, Jiang-She and Ji, Nan-Nan and Guo, Gao},
  journal={Pattern Recognition Letters},
  volume={36},
  pages={161--170},
  year={2014},
  publisher={Elsevier}
  }
  
  
@article{jaderberg2014synthetic,
  keywords = {Image Recognition},
  title={Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition},
  author={Jaderberg, Max and Simonyan, Karen and Vedaldi, Andrea and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1406.2227},
  year={2014}
  }
  
  
@article{gunawan2014deep,
  keywords = {Misc},
  title={DEEP EXTREME TRACKER BASED ON BOOTSTRAP PARTICLE FILTER},
  author={GUNAWAN, ALEXANDER AS and FANANY, MOHAMAD IVAN and JATMIKO, WISNU},
  journal={Journal of Theoretical and Applied Information Technology},
  volume={66},
  number={3},
  year={2014}
  }
  
  
@incollection{koutnik2014online,
  keywords = {Reinforcement Learning, Convolutional Network},
  title={Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning},
  author={Koutn{\'\i}k, Jan and Schmidhuber, J{\"u}rgen and Gomez, Faustino},
  booktitle={From Animals to Animats 13},
  pages={260--269},
  year={2014},
  publisher={Springer}
  }
  
  
@article{keyvanrad2014brief,
  keywords = {Platform,Survey},
  title={A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet)},
  author={Keyvanrad, Mohammad Ali and Homayounpour, Mohammad Mehdi},
  journal={arXiv preprint arXiv:1408.3264},
  year={2014}
  }
  
  
@article{bahdanau2014neural,
  keywords = {Machine Translation},
  title={Neural Machine Translation by Jointly Learning to Align and Translate},
  author={Bahdanau, Dzmitry and Cho, Kyunghyun and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1409.0473},
  year={2014}
  }
  
  
@article{momeni2014analysts,
  keywords = {Misc},
  title={Analysts' Equity Forecasts Using of Multi-layer Perception (MLP).},
  author={Momeni, Alireza and Maleki, Saber and Khajeh, Roohollah},
  journal={Advances in Environmental Biology},
  volume={8},
  number={1},
  year={2014}
  }
  
  
@article{takeda2014boundary,
  keywords = {Speech Recognition},
  title={Boundary Contraction Training for Acoustic Models based on Discrete Deep Neural Networks},
  author={Takeda, Ryu and Kanda, Naoyuki and Nukaga, Nobuo},
  year={2014}
  }
  
  
  
@phdthesis{gravelines2014deep,
  keywords = {Medicine,Healthcare,Sparseness,Autoencoder},
  title={DEEP LEARNING VIA STACKED SPARSE AUTOENCODERS FOR AUTOMATED VOXEL-WISE BRAIN PARCELLATION BASED ON FUNCTIONAL CONNECTIVITY (Thesis format: Monograph)},
  author={Gravelines, C{\'e}line},
  year={2014},
  school={The University of Western Ontario}
  }
  
  
@article{poole2014analyzing,
  keywords = {Algorithm, Noise, Autoencoder},
  title={Analyzing noise in autoencoders and deep networks},
  author={Poole, Ben and Sohl-Dickstein, Jascha and Ganguli, Surya},
  journal={arXiv preprint arXiv:1406.1831},
  year={2014}
  }
  
  
@inproceedings{stober2014classifying,
  keywords = {Brain Waves,EEG},
  title={Classifying EEG recordings of rhythm perception},
  author={Stober, Sebastian and Cameron, Daniel J and Grahn, Jessica A},
  booktitle={15th International Society for Music Information Retrieval Conference (ISMIR'14)},
  year={2014}
  }
  
  
@phdthesis{chu2014using,
  keywords = {Deep Belief Network, Image Recognition, Convolutional Network},
  title={Using Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks for Partially Occluded Object Recognition},
  author={Chu, Joseph Lin},
  year={2014},
  school={Concordia University}
  }
  
  
@inproceedings{zheng2014contrastive,
  keywords = {Speech Recognition},
  title={Contrastive auto-encoder for phoneme recognition},
  author={Zheng, Xin and Wu, Zhiyong and Meng, Helen and Cai, Lianhong},
  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  pages={2529--2533},
  year={2014},
  organization={IEEE}
  }
  
  
@article{mcgibbon2014understanding,
  keywords = {Bioinformatics},
  title={Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models},
  author={McGibbon, Robert T and Ramsundar, Bharath and Sultan, Mohammad M and Kiss, Gert and Pande, Vijay S},
  journal={arXiv preprint arXiv:1405.1444},
  year={2014}
  }
  
  
@article{taigman2014web,
  keywords = {Face Recognition},
  title={Web-Scale Training for Face Identification},
  author={Taigman, Yaniv and Yang, Ming and Ranzato, Marc'Aurelio and Wolf, Lior},
  journal={arXiv preprint arXiv:1406.5266},
  year={2014}
  }
  
  
@misc{yu2014exploiting,
  keywords = {Sparseness},
  title={Exploiting sparseness in training deep neural networks},
  author={Yu, Dong and Deng, Li and Seide, Frank Torsten Bernd and Li, Gang},
  year={2014},
  month=apr # "~15",
  publisher={Google Patents},
  note={US Patent 8,700,552}
  }
  
  
@article{ganin2014n,
  keywords = {Image Recognition},
  title={$ N\^{} 4$-Fields: Neural Network Nearest Neighbor Fields for Image Transforms},
  author={Ganin, Yaroslav and Lempitsky, Victor},
  journal={arXiv preprint arXiv:1406.6558},
  year={2014}
  }
  
  
@inproceedings{mousa2014single,
  keywords = {Image Recognition},
  title={Single Image Super-resolution Reconstruction with Neural Network and Gaussian Process Regression},
  author={Mousa, Aiman M and Gao, Xinbo and Elmahalawy, Mohamed},
  booktitle={Proceedings of International Conference on Internet Multimedia Computing and Service},
  pages={386},
  year={2014},
  organization={ACM}
  }
  
  
@inproceedings{walid2014handwritten,
  keywords = {Image Recognition},
  title={Handwritten digit recognition using sparse deep architectures},
  author={Walid, Ragheb and Lasfar, Ali},
  booktitle={Intelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on},
  pages={1--6},
  year={2014},
  organization={IEEE}
  }
  
  
@inproceedings{metze2014improved,
  keywords = {Audio},
  title={Improved audio features for large-scale multimedia event detection},
  author={Metze, Florian and Rawat, Shourabh and Wang, Yipei},
  booktitle={Multimedia and Expo (ICME), 2014 IEEE International Conference on},
  pages={1--6},
  year={2014},
  organization={IEEE}
  }
  
  
@article{zohrer2014single,
  keywords = {Audio},
  title={Single Channel Source Separation with General Stochastic Networks},
  author={Z{\"o}hrer, Matthias and Pernkopf, Franz},
  year={2014}
  }
  
  
@article{hannagan2014deep,
  keywords = {Speech Recognition},
  title={Deep Learning of Orthographic Representations in Baboons},
  author={Hannagan, Thomas and Ziegler, Johannes C and Dufau, St{\'e}phane and Fagot, Jo{\"e}l and Grainger, Jonathan},
  journal={PloS one},
  volume={9},
  number={1},
  pages={e84843},
  year={2014},
  publisher={Public Library of Science}
  }
  
  
@article{wei2014cnn,
  keywords = {Convolutional Network,Algorithm},
  title={CNN: Single-label to Multi-label},
  author={Wei, Yunchao and Xia, Wei and Huang, Junshi and Ni, Bingbing and Dong, Jian and Zhao, Yao and Yan, Shuicheng},
  journal={arXiv preprint arXiv:1406.5726},
  year={2014}
  }
  
  
@article{wu20143d,
  keywords = {Image Recognition},
  title={3D ShapeNets for 2.5 D object recognition and Next-Best-View prediction},
  author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Tang, Xiaoou and Xiao, Jianxiong},
  journal={arXiv preprint arXiv:1406.5670},
  year={2014}
  }
  
  
@article{xue2014speaker,
  keywords = {Speech Recognition},
  title={Speaker adaptation of deep neural network based on discriminant codes},
  author={Xue, Shaofei and Abdel-Hamid, Ossama and Jiang, Hui and Dai, Lirong and Liu, Qingfeng},
  year={2014},
  publisher={IEEE}
  }
  
  
@article{cheng2014language,
  keywords = {Natural Language Processing},
  title={Language Modeling with Sum-Product Networks},
  author={Cheng, Wei-Chen and Kok, Stanley and Pham, Hoai Vu and Chieu, Hai Leong and Chai, Kian Ming A},
  year={2014}
  }
  
  
@inproceedings{hua2014mining,
  keywords = {Image Recognition},
  title={Mining knowledge from clicks: MSR-Bing image retrieval challenge},
  author={Hua, Xian-Sheng and Ye, Ming and Li, Jin},
  booktitle={Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on},
  pages={1--4},
  year={2014},
  organization={IEEE}
  }
  
  
@incollection{evans2014machines,
  keywords = {Brain Waves},
  title={Machines Learning-Towards a New Synthetic Autobiographical Memory},
  author={Evans, Mathew H and Fox, Charles W and Prescott, Tony J},
  booktitle={Biomimetic and Biohybrid Systems},
  pages={84--96},
  year={2014},
  publisher={Springer}
  }
  
  
@phdthesis{shao2014learning,
  keywords = {Natural Language Processing},
  title={Learning Sparse Recurrent Neural Networks in Language Modeling},
  author={Shao, Yuanlong},
  year={2014},
  school={The Ohio State University}
  }
  
@article{chenbig,
  keywords = {Challenges, Overview},
  title={Big Data Deep Learning: Challenges and Perspectives},
  author={Chen, Xue-wen and Lin, Xiaotong},
  publisher={IEEE}
  }
  
  
@article{korjusreplicating,
  keywords = {Games},
  title={Replicating the Paper “Playing Atari with Deep Reinforcement Learning”[MKS},
  author={Korjus, Kristjan and Kuzovkin, Ilya and Tampuu, Ardi and Pungas, Taivo}
  }
  
  
@article{simonmean,
  keywords = {Stochastic Gradient},
  title={MEAN-NORMALIZED STOCHASTIC GRADIENT FOR LARGE-SCALE DEEP LEARNING},
  author={Simon Wiesler, Alexander Richard and Schl{\"u}ter, Ralf and Ney, Hermann}
  }
  
  
@article{baccouchedeep,
  keywords = {Speech Recognition},
  title={Deep learning of split temporal context for automatic speech recognition},
  author={Baccouche, Moez and Besset, Beno{\^\i}t and Collen, Patrice and Le Blouch, Olivier}
  }
  
  
@article{hoftfast,
  keywords = {GPU,Image Recognition},
  title={Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks},
  author={H{\"o}ft, Nico and Schulz, Hannes and Behnke, Sven}
  }
  
  
@article{terusaki2014emotion,
  keywords = {Face Recognition, Emotion Detection},
  title={Emotion Detection using Deep Belief Networks},
  author={Terusaki, Kevin and Stigliani, Vince},
  year={2014}
  }
  
@article{knowlesdeep,
  keywords = {Healthcare, Medicine,Brain Waves},
  title={Deep Learning for the Connectome},
  author={Knowles-Barley, Seymour and Jones, Thouis R and Morgan, Josh and Lee, Dongil and Kasthuri, Narayanan and Lichtman, Jeff W and Pfister, Hanspeter}
  }
  
  
@article{dengdeep,
  keywords = {Speech Recognition},
  title={Deep Generative and Discriminative Models for Speech Recognition},
  author={Deng, Li}
  }
  
  
@article{kangdeep,
  keywords = {Image Recognition},
  title={A DEEP LEARNING APPROACH TO DOCUMENT IMAGE QUALITY ASSESSMENT},
  author={Kang, Le and Ye, Peng and Li, Yi and Doermann, David}
  }
  
  
@article{albornozspoken,
  keywords = {Speech Recognition, Emotion Detection},
  title={Spoken emotion recognition using deep learning},
  author={Albornoz, EM and S{\'a}nchez-Guti{\'e}rrez, M and Martinez-Licona, F and Rufiner, HL and Goddard, J}
  }
  
  
@article{kandaswamy2014improve,
  keywords = {Performance Improvement},
  title={Improve Performance in Deep Neural Networks:(1) Cost Functions, and (2) Reusable learning},
  author={Kandaswamy, Chetak},
  year={2014}
  }
  
  
@article{jintraining,
  keywords = {Multicore},
  title={Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-core Coprocessor},
  author={Jin, Lei and Wang, Zhaokang and Gu, Rong and Yuan, Chunfeng and Huang, Yihua}
  }
  
  
@article{songunsupervised,
  keywords = {Natural Language Processing},
  title={Unsupervised Learning of Word Semantic Embedding using the Deep Structured Semantic Model},
  author={Song, Xinying and He, Xiaodong and Gao, Jianfeng and Deng, Li}
  }
  
  
@article{dengdeep,
  keywords = {Misc},
  title={DEEP LEARNING},
  author={Deng, Li and Yu, Dong}
  }
  
  
  
@article{sigtiaimproved,
  keywords = {Feature Extraction},
  title={Improved Music Feature Learning with Deep Neural Networks},
  author={Sigtia, Siddharth and Dixon, Simon}
  }
  
  
@article{kandaswamyimproving,
  keywords = {Performance Improvement, Autoencoder},
  title={Improving Transfer Learning Accuracy by Reusing Stacked Denoising Autoencoders},
  author={Kandaswamy, Chetak and Silva, Lu{\'\i}s M and Alexandre, Lu{\'\i}s A and Sousa, Ricardo and Santos, Jorge M and de S{\'a}, Joaquim Marques}
  }
  
  
@article{schulzstructured,
  keywords = {Image Recognition},
  title={Structured Prediction for Object Detection in Deep Neural Networks},
  author={Schulz, Hannes and Behnke, Sven}
  }
  
  
@article{bumulti,
  keywords = {Image Recognition},
  title={Multi-modal Feature Fusion for 3D Shape Recognition and Retrieval},
  author={Bu, Shuhui and Cheng, Shaoguang and Liu, Zhenbao and Han, Junwei},
  publisher={IEEE}
  }
  
  
@phdthesis{slatton2014comparison,
  keywords = {Regularization,Algorithm},
  title={A comparison of dropout and weight decay for regularizing deep neural networks},
  author={Slatton, Thomas Grant},
  year={2014}
  }
  
  
@article{alexandre3d,
  keywords = {Image Recognition},
  title={3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels},
  author={Alexandre, Lu{\'\i}s A}
  }
  
  
@article{huangdeep,
  keywords = {Deep Belief Network},
  title={Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning},
  author={Huang, Wenhao and Song, Guojie and Hong, Haikun and Xie, Kunqing},
  publisher={IEEE}
  }
  
  
@article{simonrasr,
  keywords = {Speech Recognition},
  title={RASR/NN: THE RWTH NEURAL NETWORK TOOLKIT FOR SPEECH RECOGNITION},
  author={Simon Wiesler, Alexander Richard and Golik, Pavel and Schl{\"u}ter, Ralf and Ney, Hermann}
  }
  
  
@article{ravanelliaudio,
  keywords = {Speech Recognition},
  title={AUDIO CONCEPT CLASSIFICATION WITH HIERARCHICAL DEEP NEURAL NETWORKS},
  author={Ravanelli, Mirco and Elizalde, Benjamin and Ni, Karl and Friedland, Gerald and Kessler, Fondazione Bruno}
  }
  
  
@article{kielalearning,
  keywords = {Convolutional Network},
  title={Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics},
  author={Kiela, Douwe and Bottou, L{\'e}on}
  }
  
  
@article{kandaswamyimproving,
  keywords = {Misc},
  title={Improving Accuracy on Transductive Transfer Learning by Reusing SDA},
  author={Kandaswamy, Chetak and de S{\'a}, Joaquim Marques and Silva, Lu{\'\i}s M and Alexandre, Lu{\'\i}s A and Santos, Jorge M}
  }
  
@article{memiseviclearning,
  keywords = {Face Detection},
  title={Learning to encode motion using spatio-temporal synchrony},
  author={Memisevic, Roland}
  }
  
  
@article{ninaaction,
  keywords = {Convolutional Network},
  title={Action Recognition Using Ensemble of Deep Convolutional Neural Networks},
  author={Nina, Oliver and Rubiano, Carlos and Shah, Mubarak}
  }
  
  
  
@phdthesis{bhutani2014alternate,
  keywords = {Performance Improvement,Sparseness,Autoencoder},
  title={Alternate Layer Sparsity and Intermediate Fine-tuning for Deep Autoencoders},
  author={Bhutani, Ankit},
  year={2014},
  school={INDIAN INSTITUTE OF TECHNOLOGY, KANPUR}
  }
  
  
@article{razavian2014cnn,
  keywords = {Image Recognition},
  title={CNN Features off-the-shelf: an Astounding Baseline for Recognition},
  author={Razavian, Ali Sharif and Azizpour, Hossein and Sullivan, Josephine and Carlsson, Stefan},
  journal={arXiv preprint arXiv:1403.6382},
  year={2014}
  }
  
  
@article{cliftonartificial,
  keywords = {Misc},
  title={Artificial Neural Networks},
  author={Clifton, David A}
  }
  
  
@phdthesis{han2014feature,
  keywords = {Image Recognition},
  title={FEATURE GENERATION FOR QUANTIFICATION OF VISUAL SIMILARITY},
  author={Han, Tianning Steven},
  year={2014},
  school={Rensselaer Polytechnic Institute}
  }
  
  
@article{tingley2014towards,
  keywords = {Bioinformatics},
  title={Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules},
  author={Tingley, Michael Alan},
  year={2014}
  }
  
  
@article{dos2014think,
  keywords = {Natural Language Processing},
  title={Think Positive: Towards Twitter Sentiment Analysis from Scratch},
  author={dos Santos, C{\i}cero Nogueira},
  journal={SemEval 2014},
  pages={647},
  year={2014}
  }
  
  
  
@article{gangireddy2014feed,
  keywords = {Algorithm},
  title={Feed Forward Pre-training for Recurrent Neural Network Language Models},
  author={Gangireddy, Siva Reddy and McInnes, Fergus and Renals, Steve},
  year={2014}
  }
  
  
@article{dahl2014multi,
  keywords = {Bioinformatics},
  title={Multi-task Neural Networks for QSAR Predictions},
  author={Dahl, George E and Jaitly, Navdeep and Salakhutdinov, Ruslan},
  journal={arXiv preprint arXiv:1406.1231},
  year={2014}
  }
  
  
@inproceedings{li2014training,
  keywords = {Hardware,Memristor},
  title={Training itself: Mixed-signal training acceleration for memristor-based neural network.},
  author={Li, Boxun and Wang, Yuzhi and Wang, Yu and Chen, Yiran and Yang, Huazhong},
  booktitle={ASP-DAC},
  pages={361--366},
  year={2014}
  }
  
  
@incollection{westerlund2014generalized,
  keywords = {Architecture},
  title={A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud},
  author={Westerlund, Magnus and Hedlund, Ulf and Pulkkis, G{\"o}ran and Bj{\"o}rk, Kaj-Mikael},
  booktitle={New Perspectives in Information Systems and Technologies, Volume 1},
  pages={559--569},
  year={2014},
  publisher={Springer}
  }
  
  
@article{ding2014mental,
  keywords = {Image Recognition},
  title={Mental Rotation by Optimizing Transforming Distance},
  author={Ding, Weiguang and Taylor, Graham W},
  journal={arXiv preprint arXiv:1406.3010},
  year={2014}
  }
  
  
@article{touzetbiologically,
  keywords = {Natural Language Processing},
  title={A Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words},
  author={Touzet, Claude and Kermorvant, Christopher and Glotin, Herv{\'e}}
  }
  
  
@article{baucom2014survey,
  keywords = {Robotics},
  title={Survey and Implementation of Computer Vision Techniques for Humanoid Robots},
  author={Baucom, Aaron},
  year={2014}
  }
  
  
@article{wang2014effective,
  keywords = {Information Retrieval,Image Recognition,Autoencoder},
  title={Effective Multi-Modal Retrieval based on Stacked Auto-Encoders},
  author={Wang, Wei and Ooi, Beng Chin and Yang, Xiaoyan and Zhang, Dongxiang and Zhuang, Yueting},
  journal={Proceedings of the VLDB Endowment},
  volume={7},
  number={8},
  year={2014}
  }
  

@phdthesis{hartmann2014friedrich, 
   keywords = {Convolutional Network, GPU},
   title={Discriminative Convolutional Sum-Product Networks on GPU},
   author={Hartmann, Tobias},
   year={2014},
   school={Rheinische Friedrich-Wilhelms-Universit{"a}t Bonn}
}  
  
@article{magnan2014sspro,
  keywords = {Bioinformatics},
  title={SSpro/ACCpro 5: Almost Perfect Prediction of Protein Secondary Structure and Relative Solvent Accessibility Using Profiles, Machine Learning, and Structural Similarity.},
  author={Magnan, Christophe N and Baldi, Pierre},
  journal={Bioinformatics},
  pages={btu352},
  year={2014},
  publisher={Oxford Univ Press}
  }
  
  
@article{dauphin2014identifying,
  keywords = {Algorithm},
  title={Identifying and attacking the saddle point problem in high-dimensional non-convex optimization},
  author={Dauphin, Yann and Pascanu, Razvan and Gulcehre, Caglar and Cho, Kyunghyun and Ganguli, Surya and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.2572},
  year={2014}
  }
  
  
@inproceedings{pei2014max,
  keywords = {Natural Language Processing},
  title={Max-Margin Tensor Neural Network for Chinese Word Segmentation},
  author={Pei, Wenzhe and Ge, Tao and Chang, Baobao},
  booktitle={Proceedings of ACL},
  year={2014}
  }
  
  
  
@inproceedings{gupta2014query,
  keywords = {Search,Natural Language Processing},
  title={Query expansion for mixed-script information retrieval},
  author={Gupta, Parth and Bali, Kalika and Banchs, Rafael E and Choudhury, Monojit and Rosso, Paolo},
  booktitle={Proceedings of the 37th international ACM SIGIR conference on Research \& development in information retrieval},
  pages={677--686},
  year={2014},
  organization={ACM}
  }
  
  
@article{rieglerhough,
  keywords = {Face Recognition},
  title={Hough Networks for Head Pose Estimation and Facial Feature Localization},
  author={Riegler, Gernot and Ferstl, David and R{\"u}ther, Matthias and Bischof, Horst}
  }
  
  
@article{lopes2014machine,
  keywords = {Multicore},
  title={Machine Learning for Adaptive Many-Core Machines-A Practical Approach},
  author={Lopes, Noel and Ribeiro, Bernardete},
  year={2014},
  publisher={Springer}
  }
  
  
@article{gupta2014query,
  keywords = {Search,Natural Language Processing},
  title={Query Expansion for Multi-script Information Retrieval},
  author={Gupta, Parth and Bali, Kalika and Banchs, Rafael E and Choudhury, Monojit and Rosso, Paolo},
  year={2014}
  }
  
  
@phdthesis{wu2014human,
  keywords = {Face Recognition},
  title={Human Action Recognition Using Deep Probabilistic Graphical Models},
  author={Wu, Di},
  year={2014},
  school={University of Sheffield}
  }
  
  
@inproceedings{wang2014cascaded,
  keywords = {Convolutional Network,Healthcare,Medicine},
  title={Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection},
  author={Wang, Haibo and Cruz-Roa, Angel and Basavanhally, Ajay and Gilmore, Hannah and Shih, Natalie and Feldman, Mike and Tomaszewski, John and Gonzalez, Fabio and Madabhushi, Anant},
  booktitle={SPIE Medical Imaging},
  pages={90410B--90410B},
  year={2014},
  organization={International Society for Optics and Photonics}
  }
  
  
@article{chernodub2014training,
  keywords = {Misc},
  title={Training Neural Networks for classification using the Extended Kalman Filter: A comparative study},
  author={Chernodub, AN},
  journal={Optical Memory and Neural Networks},
  volume={23},
  number={2},
  pages={96--103},
  year={2014},
  publisher={Springer}
  }
  
  
@article{pascanu2014saddle,
  keywords = {Algorithm},
  title={On the saddle point problem for non-convex optimization},
  author={Pascanu, Razvan and Dauphin, Yann N and Ganguli, Surya and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1405.4604},
  year={2014}
  }
  
  
@article{foxtowards,
  keywords = {Misc},
  title={Towards an Understanding of Facets and Exemplars of Big Data Applications},
  author={Fox, Geoffrey C and Jha, Shantenu and Qiu, Judy and Luckow, Andre}
  }
  
  
@article{tang2014hierarchical,
  keywords = {Image Recognition},
  title={Hierarchical kernel-based rotation and scale invariant similarity},
  author={Tang, YY and Xia, Tian and Wei, Yantao and Li, Hong and Li, Luoqing},
  journal={Pattern Recognition},
  volume={47},
  number={4},
  pages={1674--1688},
  year={2014},
  publisher={Elsevier}
  }
  
  
@article{mnih2014recurrent,
  keywords = {Face Recognition},
  title={Recurrent Models of Visual Attention},
  author={Mnih, Volodymyr and Heess, Nicolas and Graves, Alex and Kavukcuoglu, Koray},
  journal={arXiv preprint arXiv:1406.6247},
  year={2014}
  }
  
  
@article{geras2014scheduled,
  keywords = {Noise, Autoencoder},
  title={Scheduled denoising autoencoders},
  author={Geras, Krzysztof J and Sutton, Charles},
  journal={arXiv preprint arXiv:1406.3269},
  year={2014}
  }
  
  
@article{srivastava2014dropout,
  keywords = {Algorithm},
  title={Dropout: A Simple Way to Prevent Neural Networks from Overfitting},
  author={Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
  journal={Journal of Machine Learning Research},
  volume={15},
  pages={1929--1958},
  year={2014}
  }
  
  
@article{debest,
  keywords = {Image Recognition},
  title={Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images},
  author={de Andrade, Anderson}
  }
  
  
@article{anderson2014quantifying,
  keywords = {Energy Efficiency, Image Recognition},
  title={Quantifying the Energy Efficiency of Object Recognition and Optical Flow},
  author={Anderson, Michael and Iandola, Forrest and Keutzer, Kurt},
  year={2014}
  }
  
  
@article{dedeep,
  keywords = {Face Recognition},
  title={Deep learning: Modeling high-level face features through deep networks},
  author={de Souza J{\'u}nior, Nelson Forte}
  }
  
@article{hjelm2014restricted,
  keywords = {Restricted Boltzmann Machines, Medicine, Healthcare},
  title={Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks},
  author={Hjelm, R Devon and Calhoun, Vince D and Salakhutdinov, Ruslan and Allen, Elena A and Adali, Tulay and Plis, Sergey M},
  journal={NeuroImage},
  volume={96},
  pages={245--260},
  year={2014},
  publisher={Elsevier}
  }
  
  
@inproceedings{mccoppin2014deep,
  keywords = {Image Recognition},
  title={Deep learning for image classification},
  author={McCoppin, Ryan and Rizki, Mateen},
  booktitle={SPIE Defense+ Security},
  pages={90790T--90790T},
  year={2014},
  organization={International Society for Optics and Photonics}
  }
  
  
@incollection{krig2014local,
  keywords = {Image Recognition},
  title={Local Feature Design Concepts, Classification, and Learning},
  author={Krig, Scott},
  booktitle={Computer Vision Metrics},
  pages={131--189},
  year={2014},
  publisher={Springer}
  }
  
  
@article{bornschein2014reweighted,
  keywords = {Algorithm},
  title={Reweighted Wake-Sleep},
  author={Bornschein, J{\"o}rg and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.2751},
  year={2014}
  }
  
  
@article{shen2014latent,
  keywords = {Search,Convolutional Network},
  title={A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval},
  author={Shen, Yelong and He, Xiaodong and Gao, Jianfeng and Deng, Li and Mesnil, Gregoire},
  year={2014}
  }
  
  
@phdthesis{li2014noise,
  keywords = {Speech Recognition},
  title={Noise-Robust Speech Recognition Using Deep Neural Network},
  author={Li, Bo},
  year={2014},
  school={National University of Singapore}
  }
  
  
@incollection{yang2014object,
  keywords = {Image Recognition},
  title={Object Detection and Viewpoint Estimation with Auto-masking Neural Network},
  author={Yang, Linjie and Liu, Jianzhuang and Tang, Xiaoou},
  booktitle={Computer Vision--ECCV 2014},
  pages={441--455},
  year={2014},
  publisher={Springer}
  }
  
  
% http://www.cs.berkeley.edu/~mjanders/UAV_App_Technical_Report_DRAFT_v1.pdf
@article{anderson2014uav,
  keywords = {Una},
  title={UAV Application for DARPA PERFECT}, 
  author={Anderson, Michael and Iandola, Forrest and Keutzer, Kurt},
  year={2014}
  }
  
  
@article{zhaoautoencoder,
  keywords = {Machine Translation, Natural Language Processing,Autoencoder},
  title={AN AUTOENCODER WITH BILINGUAL SPARSE FEATURES FOR IMPROVED STATISTICAL MACHINE TRANSLATION},
  author={Zhao, Bing and Tam, Yik-Cheung and Zheng, Jing}
  }
  
  
@article{amaral2014transfer,
  keywords = {Performance Improvement},
  title={Transfer of Learning Across Deep Networks to Improve Performance in Problems with Few Labelled Data},
  author={Amaral, Telmo},
  year={2014}
  }
  
  
@article{rachmadilarge,
  keywords = {Image Recognition},
  title={Large-Scale Scene Classification Using Gist Feature},
  author={Rachmadi, Reza Fuad and Purnama, I Ketut Eddy}
  }
  
  
  
@article{aslamlearning,
  keywords = {Natural Language Processing},
  title={Learning Distributed Representations of Natural Language Text with Artificial Neural Networks},
  author={Aslam, Ali}
  }
  
  
@article{chenvoice,
  keywords = {Voice Recognition},
  title={Voice Conversion Using Deep Neural Networks with Layer-Wise Generative Training},
  author={Chen, Ling-Hui and Ling, Zhen-Hua and Liu, Li-Juan and Dai, Li-Rong},
  publisher={IEEE}
  }
  
  
@inproceedings{sohl2014fast,
  keywords = {},
  title={Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods},
  author={Sohl-Dickstein, Jascha and Poole, Ben and Ganguli, Surya},
  booktitle={Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
  pages={604--612},
  year={2014}
  }
  
  
@article{kim2014fully,
  keywords = {Hardware,Restricted Boltzmann Machines,Architecture},
  title={A Fully Pipelined FPGA Architecture of a Factored Restricted Boltzmann Machine Artificial Neural Network},
  author={Kim, Lok-Won and Asaad, Sameh and Linsker, Ralph},
  journal={ACM Transactions on Reconfigurable Technology and Systems (TRETS)},
  volume={7},
  number={1},
  pages={5},
  year={2014},
  publisher={ACM}
  }
  
  
@article{khaligh2014you,
  keywords = {Image Recognition},
  title={What you need to know about the state-of-the-art computational models of object-vision: A tour through the models},
  author={Khaligh-Razavi, Seyed-Mahdi},
  journal={arXiv preprint arXiv:1407.2776},
  year={2014}
  }
  
  
@article{biem2014neural,
  keywords = {Survey,Overview},
  title={Neural Networks: A Review},
  author={Biem, Alain},
  journal={Data Classification: Algorithms and Applications},
  pages={205},
  year={2014},
  publisher={CRC Press}
  }
  
  
@article{xielearning,
  keywords = {Image Recognition},
  title={Learning Sparse FRAME Models for Natural Image Patterns},
  author={Xie, Jianwen and Hu, Wenze and Zhu, Song-Chun and Wu, Ying Nian}
  }
  
  
@article{zhang2014large,
  keywords = {Big Data, Deep Belief Network},
  title={Large-scale Deep Belief Nets with MapReduce},
  author={Zhang, KUNLEI and Chen, Xue-wen},
  year={2014},
  publisher={IEEE}
  }
  
@article{dasigimodeling,
  keywords = {Natural Language Processing},
  title={Modeling Newswire Events using Neural Networks for Anomaly Detection},
  author={Dasigi, Pradeep and Hovy, Eduard}
  }
  
  
@article{bordes2014semantic,
  keywords = {Natural Language Processing},
  title={A semantic matching energy function for learning with multi-relational data},
  author={Bordes, Antoine and Glorot, Xavier and Weston, Jason and Bengio, Yoshua},
  journal={Machine Learning},
  volume={94},
  number={2},
  pages={233--259},
  year={2014},
  publisher={Springer}
  }
  
  
@article{nugent2014thermodynamic,
  keywords = {Neuromorphic},
  title={Thermodynamic-RAM Technology Stack},
  author={Nugent, M Alexander and Molter, Timothy W},
  journal={arXiv preprint arXiv:1406.5633},
  year={2014}
  }
  
  
@article{sironi2014learning,
  keywords = {Algorithm},
  title={Learning Separable Filters},
  author={Sironi, Amos and Tekin, Bugra and Rigamonti, Roberto and Lepetit, Vincent and Fua, Pascal},
  year={2014},
  publisher={IEEE}
  }
  
  
@article{lu2014surpassing,
  keywords = {Image Recognition},
  title={Surpassing Human-Level Face Verification Performance on LFW with GaussianFace},
  author={Lu, Chaochao and Tang, Xiaoou},
  journal={arXiv preprint arXiv:1404.3840},
  year={2014}
  }
  
  
@inproceedings{perotti2014neural,
  keywords = {Finance},
  title={Neural Networks for Runtime Verification},
  author={Perotti, Alan and d'Avila Garcez, Artur and Boella, Guido},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={2637--2644},
  year={2014},
  organization={IEEE}
  }
  
  
  
  
@inproceedings{tian2014acceleration,
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@article{derfeature,
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keywords = {Convolutional Network, Image Recognition},
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pages = {1097--1105},
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publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf}
}

<<<<<<< HEAD
@misc{2014HWangNWangDYYeung,
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@misc{2014WOuyangPLuoXZengSQiuYTianHLiSYang,
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}

@misc{2014ISutskeverOVinyalsQVLe,
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@misc{2014JLyonsADehzangiRHeffernanASharma,
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  author = "J Lyons, A Dehzangi, R Heffernan, A Sharma",
  keywords = {deep neural network, bioinformatics},
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@misc{2014DTristramKBradshaw,
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@misc{2014IJKimXXie,
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@misc{2014NdeFreitas,
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@misc{2014WChanILaneSGradientsMMomentumGDecay,
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@misc{2014HWang,
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@misc{2014DStowellMDPlumbley,
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@misc{2014TLMcDonell,
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@misc{2014AOIbraheem,
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@misc{2014OGencogluTVirtanenHHuttunen,
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@misc{2014MRavanelliBElizaldeKNiGFriedlandFBKessler,
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@misc{2014LHChenZHLingLJLiuLRDai,
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@misc{2014OBesbesABenazzaBenyahia,
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@misc{2014DMeryKBowyer,
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@misc{2014GRieglerDFerstlMRütherHBischof,
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@misc{2014YZhengRSZemelYJZhangHLarochelle,
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@misc{2014YBarNLevyLWolf,
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@misc{2014WYuFZhuangQHeZShi,
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@misc{2014IJGoodfellowJPougetAbadieMMirzaBXu,
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@misc{2014VJRRipollAWojdelPRamosERomeroJBrugada,
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@misc{2014MLiDGAndersenJWParkAJSmolaAAhmed,
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@misc{2014JJinVGokhaleADundarBKrishnamurthyBMartini,
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@misc{2014ADundarJJinVGokhaleBMartiniECulurciello,
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@misc{2014AMontaltoGTessitoreRPrevete,
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@misc{2014XFrazaoLAAlexandre,
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@misc{2014ABergamoLBazzaniDAnguelovLTorresani,
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@misc{2014QChenMAbediniRGarnaviXLiang,
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@misc{2014JAVanegasJArevaloSOtáloraFPáez,
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@misc{2014HFangCHu,
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@misc{2014DWuLShao,
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@misc{2014YBYuanGYDavidSZhao,
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@misc{2014BYanikogluYSTolgaCTirkazEFuenCaglartes,
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@misc{2014LChenSZhuZLiJHu,
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@misc{2014DKHuASYeLLiLZhang,
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@misc{2014JLedererSGuadarrama,
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@misc{2014PFengMYuSMNaqviJAChambers,
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@misc{2014CYLeeSXiePGallagherZZhangZTu,
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@misc{2014LDengXHeGTurDHakkanitur,
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@misc{2014RWangCHanYWuTGuo,
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@misc{2014BShiXBaiWLiuJWang,
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@misc{2014XJWu,
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@misc{2014WHe,
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@misc{2014LZhangYFNieZHWang,
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@misc{2014RKumarAKCheema,
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@misc{2014CCChiouLCTienLTLee,
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@misc{2014JLiuMGongJZhaoHLiLJiao,
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@misc{2014HBKazemianSAhmed,
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@misc{2014TSLiCMHu,
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@misc{2014XJHeZDYiJLiuYZWang,
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@misc{2014JYYu,
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@misc{2014MKhalilHaniLSSung,
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@misc{2014ZZhangWZhangJLiuXTang,
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@misc{2014NSteenbergen,
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@misc{2014BWichtJHennebert,
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@misc{2014PHoneine,
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@misc{2014ZYXuLNTangCPTian,
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@misc{2014ZShenXXue,
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@misc{2014HSchulzKChoTRaikoSBehnke,
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@misc{2014SElfwingEUchibeKDoya,
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@misc{2014GEvangelidisGSinghRHoraud,
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@misc{2014YLiuFTangZZeng,
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@misc{2014JCarreiraRCaseiroJBatistaCSminchisescu,
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@misc{2014LZhongQLiuPYangJHuangDNMetaxas,
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@misc{2014PKMuthukumarAWBlack,
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@misc{2014QBNguyenTTVuCMLuong,
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@misc{2014YGaninVLempitsky,
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@misc{2014ZAkataHLeeBSchiele,
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@misc{2014NQPhamHSLeDDNguyenTGNgo,
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@misc{2014OİrsoyEAlpaydın,
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@misc{2014ADeleforgeFForbesSBaRHoraud,
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@misc{2014JASánchezVRomeroAHToselliEVidal,
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@misc{2014JDuJSHuBZhuSWeiLRDai,
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@misc{2014PPRoyYChherawalaMCheriet,
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@misc{2014HWangClassifyingGray-scaleSar,
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@misc{2014TGrószPBodnárLTóthLGNyúl,
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@misc{2014PBodnárTGrószLTóthLGNyúl,
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@misc{2014GChenSNSrihari,
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@misc{2014JDu,
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@misc{2014LLMaJWu,
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@misc{2014EBATI,
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@misc{2014DMenottiGChiachiaAXFalcaoVJONeto,
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@misc{2014NMarkušMFrljakISPandzicJAhlberg,
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@misc{2014GDesjardinsHLuoACourvilleYBengio,
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@misc{2014AJalalvandFTriefenbachKDemuynckJPMartens,
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@misc{2014NTakamuneHKameoka,
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@misc{2014SBuPHanZLiuJHan,
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@misc{2014SOzairYBengio,
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@misc{2014LDenoyerPGallinari,
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@misc{2014VJavierTraverPLatorreCarmona,
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@misc{2014MBhattacharyyaSBandyopadhyay,
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@misc{2014DSovilj,
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@misc{2014WHouXGao,
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@misc{2014SKimZYuRMKilMLee,
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@misc{2014JWanDWangSCHHoiPWuJZhuYZhangJLi,
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@misc{2014RChalasaniJCPrincipe,
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@misc{2014MTanakaMOkutomi,
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@misc{2014AOTANGKELUYWANGJIEHUANGHLI,
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@misc{2014YSunQLiuHLu,
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@misc{2014SChenYWang,
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@misc{2014JBohannon,
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@misc{2014PFoggiaASaggeseNStrisciuglioMVento,
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@misc{2014MEMidhunSRNairVTPrabhakarSSKumar,
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@misc{2014DMenottiGChiachiaAPintoWRSchwartzHPedrini,
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@misc{2014ASchwarzCHuemmerRMaasWKellermann,
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@misc{2014LBrunGPercannellaASaggeseMVento,
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@misc{2014JMaoWXuYYangJWangALYuille,
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@misc{2014RKSrivastavaJMasciFGomezJSchmidhuber,
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@misc{2014SChetlurCWoolleyPVandermerschJCohen,
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@misc{2014NWangXGaoDTaoXLi,
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@misc{2014TChilimbiYSuzueJApacibleKKalyanaraman,
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@misc{2014HVKoops,
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@misc{2014JJiangRHuLMikelYDou,
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@misc{2014JDoshiCMasonAWagnerZKira,
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@misc{2014JLiZStruzikLZhangACichocki,
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@misc{2014RRVariorGWangJLu,
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@misc{2014RLivniSShalevShwartzOShamir,
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@misc{2014NCohenAShashua,
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@misc{2014JRSmith,
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@misc{2014ICortesCirianoQulAinVSubramanianBLenselink,
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@misc{2014YJiangDWangRLiuZFeng,
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@misc{2014CJSunSHZhuZShi,
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@misc{2014RSAdepu,
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@misc{2014HKamyshanskaRMemisevic,
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@inproceedings{cvpr2013bbprbm,
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@inproceedings{cvpr2013aug,
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@misc{2014QHPhanHFuABChan,
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@misc{2014TManiakCJayneRIqbalFDoctor,
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@misc{2014RChellappa,
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@misc{2014PBaldiPSadowskiDWhiteson,
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@misc{2014DYiZLeiSLiaoSZLi,
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@misc{2014ZZhouNChawlaYJinGWilliams,
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@misc{2014CMAIN,
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@misc{2014DHakkaniTürMSlaneyACelikyilmazLHeck,
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@misc{2014LZhengSWangPGuoHLiangQTian,
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@misc{2014ZLiuCXieSBuXWangJHanHLinHZhang,
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@misc{2014PMehtaDJSchwab,
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@misc{2014MZengLTNguyenBYuOJMengshoelJZhuPWu,
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@misc{2014KHanDWang,
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@misc{2014JMacákODrbohlav,
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@misc{2014SMKhalighRazaviNKriegeskorte,
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@misc{2014ARomeroPRadevaCGatta,
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@misc{2014LLiuJHuSZhangWDeng,
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@misc{2014ZChenKYu,
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@misc{2014DARichardsPMuscarellaTBekaiiSaabLSWilfong,
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@misc{2014FWeningerJBergmannBSchuller,
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@misc{2014RMMenchónLaraJLSanchoGómez,
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@misc{2014RMinBBai,
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@misc{2014ASuzani,
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@misc{2014YZhaoJXueXChen,
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@misc{2014GVHahnPowellDArchangeli,
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@misc{2014YSongDNiZZengLHeSChenBLeiTWang,
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@misc{2014SShekharVMPatelHVNguyenRChellappa,
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@misc{2014YHuDYiSLiaoZLeiSZLi,
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@misc{2014HMobahiJWFisherIII,
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@misc{2014AFinkbinerRLauerJRice,
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@misc{2014KBRajaRRaghavendraVKVemuriCBusch,
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@misc{2014YZhangYChengKBJiaADZhang,
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@misc{2014MAARashwanAAAlSallabHMRaafatARafea,
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@misc{2014SZhouQChenXWang,
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@misc{2014XTianGYuPLi,
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@misc{2014MBuccoliPBestaginiMZanoniASartiSTubaro,
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@misc{2014DTurcsanyABargiela,
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@misc{2014HMobahiJWFisherIIICoarse-to-FineMinimizationof,
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@misc{2014MJungJHwangJTani,
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@misc{2014RGlattJCFreireJrDJBSSampaio,
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@misc{2014HLvGYuXTianGWu,
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@misc{2014KAddankiDWu,
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@misc{2014SAvilaDMoreiraMPerezDMoraesICota,
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@misc{2014BVandersmissenATomarFGodinWDeNeve,
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@misc{2014CLiBXuGWuSHeGTianHHao,
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@misc{2014EPanZHan,
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@misc{2014TDOrathanadu,
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@misc{2014WZarembaISutskever,
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@misc{2014XTangXWan,
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@misc{2014LAvdiyenkoNBertschingerJJost,
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@misc{2014ANandaROmanwarBDeshpande,
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@misc{2014ZDaiADamianouJHensmanNLawrence,
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@misc{2014SOgnawalaJBayer,
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@misc{2014JMTomczakMZięba,
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@misc{2014HZhaoJLuoZHuangTNagumoJMurayama,
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@misc{2014DPalazRCollobert,
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@misc{2014SZLiBYuWWuSZSuRRJi,
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@misc{2014QKongXFengYLi,
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@misc{2014LNieSZKumar,
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@misc{2014EMRehnHSprekeler,
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@misc{2014DQuangYChenXXie,
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@misc{2014IChungTNSainathBRamabhadranMPicheny,
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@misc{2014MPesekALeonardisMMarolt,
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@misc{2014FZouYWangYYangKZhouYChenJSong,
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@misc{2014BLengXZhangMYaoZXiong,
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@misc{2014WLiLWangYZhouJDinesMMagimaiDoss,
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@misc{2014GLayherFSchrodtMVButzHNeumann,
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@misc{2014JDuJSHuBZhuSWeiLRDai,
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@misc{2014YChengXZhaoKHuangTTan,
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@misc{2014PHuangYHuangWWangLWang,
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@misc{2014YSatoKKozukaYSawadaMKiyono,
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@misc{2014BXieYLiuHZhangJYu,
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@misc{2014MKächeleDZharkovSMeudtFSchwenker,
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@misc{2014IHJhuoDTLee,
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@misc{2014WRenYYuJZhangKHuang,
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@misc{2014MWangYChenXWang,
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@misc{2014BJain,
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@misc{2014XCYinCYangWYPeiHWHao,
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@misc{2014ZWuYHuangYYuLWangTTan,
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@misc{2014ZDongMPeiYHeTLiuYDongYJia,
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@misc{2014TNakashikaTYoshiokaTTakiguchiYAriki,
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@misc{2014SEKahouPFroumentyCPal,
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@misc{2014BLiuJLiuXBaiHLu,
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@misc{2014NDhungelGCarneiroAPBradley,
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@misc{2014HWangYZhaoYXuXXuXSuoQJi,
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@misc{2014XZhengJWeiWLuQFangJDang,
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@misc{2014JNiuYQianKYu,
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@misc{2014LChaoJTaoMYangYLi,
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@misc{2014YMaJDangWLi,
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@misc{2014NWahlströmTBSchönMPDeisenroth,
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@misc{2014YXuJDuLRDaiCHLee,
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@misc{2014BJiangYSongSWeiMGWangIMcLoughlin,
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@misc{2014ZYouBXu,
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@misc{2014CNiNFChenBMa,
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@misc{2014ZYouBXuInvestigationofstochastic,
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@misc{2014WWLiuMCaiHYuanXBShiWQZhangJLiu,
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@misc{2014XLiXWu,
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@misc{2014TZhaoYZhaoXChen,
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@misc{2014SXueHJiangLDai,
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@misc{2014XLiXWuDecisiontreebased,
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@misc{2014XYangJLiu,
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@misc{2014MRavanelliVHDoAJanin,
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@misc{2014YWangJDuLDaiCHLee,
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@misc{2014MStoehrYAmit,
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@misc{2014WLRZhaoTXiaoXWang,
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@misc{2014KDuh,
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@misc{2014GAOWeixunCAOQiyingQYao,
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@misc{2014LYeMZhuSXiaHPan,
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@misc{2014HPMartínezGNYannakakis,
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@misc{2014MMalinowskiMFritz,
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@misc{2014CCadenaJKošecká,
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@misc{2014ZDongYWuMPeiYJia,
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@misc{2014HZhouGBHuangZLinHWangYCSoh,
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@misc{2014AAravkinLDengGHeigoldTJebaraDKanevski,
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@misc{2014LDinhDKruegerYBengio,
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@misc{2014GMarcusAMarblestoneTDean,
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@misc{2014NMondalPPGhosh,
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@misc{2014MKim,
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@misc{2014GZhongMCheriet,
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@misc{2014XLvSWangXLiSJiang,
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@misc{2014PPrzymus,
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@misc{2014XLuZLinHJinJYangJZWang,
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@misc{2014TPLillicrapDCowndenDBTweedCJAkerman,
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@misc{2014BXuXWangXTang,
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@misc{2014FFengXWangRLi,
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@misc{2014CNEURALRURAWSSIGNAL,
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@misc{2014SZhangFQiaoMLiu,
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@misc{2014JGlass,
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@misc{2014DCulibrkNSebe,
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@misc{2014ZJinJHuangWChengCYang,
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@misc{2014JHuangWXiaSYan,
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@misc{2014MWangTXiaoJLiJZhangCHongZZhang,
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@misc{2014YWuQJi,
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@misc{2014XZhangHXiongWZhouQTian,
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@misc{2014LXuJSJRenCLiuJJia,
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@misc{2014XGuoSSinghHLeeRLewisXWang,
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@misc{2014HFanMYangZCaoYJiangQYin,
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@misc{2014KTengJWangMXuHLu,
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@misc{2014MJWitteveen,
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@misc{2014TChenDBorthTDarrellSFChang,
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@misc{2014JWangCKangYHeSXiangCPan,
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@misc{2014LChaoJTaoMYangYLiZWen,
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@misc{2014XOuLYanHLingCLiuMLiu,
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@misc{2014HKagayaKAizawaMOgawa,
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@misc{2014TXiaoJZhangKYangYPengZZhang,
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@misc{2014YZhuangZYuWWangFWuSTangJShao,
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@misc{2014ZHuangMDongQMaoYZhan,
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@misc{2014PXuMYeXLiQLiuYYangJDing,
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@misc{2014DPalazMMagimaiDossRCollobert,
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@misc{2014EBarshanPFieguth,
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@misc{2014YShiaAKaratzogloubLBaltrunasbMLarsonc,
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@misc{2014USümbülAZlateskiAVishwanathanRHMasland,
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@misc{2014ZZhuPLuoXWangXTang,
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@misc{2014JYosinskiJCluneYBengioHLipson,
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@misc{2014RYangSGeKXieSChen,
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@misc{2014LGuoSLiXNiuYDou,
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@misc{2014SAfsharLGeorgeJTapsonAvanSchaik,
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@misc{2014TBroschRTam,
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@misc{2014MJSkwarkDRaimondiMMichelAElofsson,
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@misc{2014BShakibi,
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@misc{2014HChoiHPark,
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@misc{2014BLiYLuCLiAGodilTSchreckMAono,
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@misc{2014OIrsoyCCardie,
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@misc{2014TAOYANGXZHAOBLINTAOZENGSJIJYE,
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@misc{2014ZMaoCMaTHMHuangYChenYHuang,
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@misc{2014MSongTChambers,
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@misc{2014DCMocanuGExarchakosALiotta,
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@misc{2014EBengioYWenSRuan,
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@misc{2014HLiuBMaLQinJPangCZhangQHuang,
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@misc{2014GMesnilYDauphinKYaoYBengioLDeng,
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@misc{2014HHamooniAMueen,
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@misc{2014RKirosRSalakhutdinovRSZemel,
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@misc{2014JMartinezHHHoosJJLittle,
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@misc{2014MMirzaSOsindero,
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@misc{2014THoritaITakanamiMAkibaMTerauchiTKanno,
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@misc{2014HTosun,
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@misc{2014CMitchellDCordellDFam,
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@misc{2014NItenDPetko,
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@misc{2014CSabett,
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@misc{2014CPolancoTBuhseJACastañónGonzález,
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@misc{2014RRanganathLTangLCharlinDMBlei,
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@misc{2014SShalevShwartz,
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@misc{2014MUedaYNishitaniYKanekoAOmote,
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@misc{2014DYuLDeng,
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@misc{2014CKoGSohnTKRemmelJMiller,
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@misc{2014KHan,
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@misc{2014KINTEKNG,
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@misc{2014RFrassettoNogueiraRdeAlencarLotufo,
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@misc{2014TYanhuiDJunXYongDLirongLChinHui,
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@misc{2014KKim,
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@misc{2014ITseyzer,
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@misc{2014TYDuJunXYongLCHDaiLirong,
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@misc{2014ADroniouSIvaldiOSigaud,
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@misc{2014VDLuongLWangGXiao,
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@misc{2014YZhangZTangCZhangJLiuHLu,
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@misc{2014XChenXChengSMallat,
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@misc{2014BAhnJParkISKweon,
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@misc{2014AUnterwegerKVanRyckegemDEngelAUhl,
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@misc{2014GMishneRTalmonICohen,
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@misc{2014CSuiRTogneriMBennamoun,
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@misc{2014DYuLDengDeepNeuralNetworks,
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@misc{2014JKChenZChenZChiHFu,
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@misc{2014SDingNZhangXXuLGuoJZhang,
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@misc{2014DKotziasMDenilPBlunsomNdeFreitas,
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@misc{2014CDaHZhangYSang,
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@misc{2014YJinHPTan,
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@misc{2014MKoutsombogeraHPapageorgiou,
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@misc{2014DYuLDengFeatureRepresentationLearning,
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@misc{2014DYuLDengRepresentationSharingand,
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@misc{2014DYuLDengDeepNeuralNetwork-Hidden,
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@misc{2014DYuLDengHiddenMarkovModels,
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@misc{2014SXuXMeiWDongXSunXShenXZhang,
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@misc{2014FSrajerAGSchwingMPollefeysTPajdla,
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@misc{2014CLiuMTomizuka,
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@misc{2014AOhri,
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@misc{2014WAdamsKPlis,
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@misc{2014DEigenRFergus,
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@misc{2014JTompsonRGoroshinAJainYLeCunCBregler,
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@misc{2014JDonahueLAHendricksSGuadarramaMRohrbach,
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@misc{2014JLongEShelhamerTDarrell,
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@misc{2014XWangDFFouheyAGupta,
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@misc{2014HFangSGuptaFIandolaRSrivastavaLDeng,
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@misc{2014MRFerrier,
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@misc{2014MAKeyvanradMMHomayounpour,
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@misc{2014GMontufar,
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@misc{2014JChengDKartsaklisEGrefenstette,
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@misc{2014MZhaoCZhuangYWangTSLee,
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@misc{2014KKangXWang,
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@misc{2014ZLuAMayKLiuABGarakaniDGuoABelletLFan,
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@misc{2014CKangSLiaoYHeJWangSXiangCPan,
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@misc{2014SChatzis,
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@misc{2014BYangWYihXHeJGaoLDeng,
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@misc{2014RMohan,
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@misc{2014OVinyalsAToshevSBengioDErhan,
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@misc{2014GMesnilSRifaiABordesXGlorotYBengio,
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@misc{2014YCaoYChenDKhosla,
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@misc{2014CXuSCetintasKCLeeLJLi,
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@misc{2014CHTianYWangWTMoFCHuangWSDong,
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@misc{2014KLencAVedaldi,
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@misc{2014RVedantamCLZitnickDParikh,
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@misc{2014SZhangKKang,
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@misc{2014PSprechmannAMBronsteinGSapiro,
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@misc{2014ADosovitskiyJTSpringenbergTBrox,
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@misc{2014JTHLoYGuiYPeng,
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@misc{2014BHariharanPArbeláezRGirshickJMalik,
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@misc{2014LBazzaniABergamoDAnguelovLTorresani,
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@misc{2014MKarthickSUmesh,
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@misc{2014SHussainSCLiuABasu,
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@misc{2014TXiaoYXuKYangJZhangYPengZZhang,
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@misc{2014ASRazavianHAzizpourAMakiJSullivanCHEk,
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@misc{2014FLiuCShenGLin,
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@misc{2014JCarreiraAKarSTulsianiJMalik,
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@misc{2014WChenGGuo,
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@misc{2014JHelmsen,
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@misc{2014NTripathiAJadeja,
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@misc{2014AJYepesAMacKinlayJBedoRGarnaviQChen,
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@misc{2014JCBanCHChang,
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@misc{2014JMBae,
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@misc{2014DBalduzziHVanchinathanJBuhmann,
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@misc{2014HFGolinoCMAGomesDAndrade,
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@misc{2014YYangYLiYAloimonos,
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@misc{2014MCimpoiSMajiAVedaldi,
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@misc{2014XChangFNieZMaYYangXZhou,
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@misc{2014HPanSIOlsenYZhu,
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@misc{2014YLiuLQinZChengYZhangWZhangQHuang,
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@misc{2014LPeiMYeXZhaoTXiangTLi,
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@misc{2014NGALAYOUSS,
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@misc{2014JZhangMKanSShanXZhaoXChen,
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@misc{2014TKoriyamaTNoseTKobayashi,
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@misc{2014SYangPLuoCCLoyKWShumXTang,
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@misc{2014ASinghARajVKGupta,
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@misc{2014LShenGSunSWangEWuQHuang,
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@misc{2014SYangPLuoCCLoyKWShumXTangDeepRepresentationLearning,
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@misc{2014YYinMJLiaoXLLi,
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@misc{2014SZhaoHYaoSZhaoXJiangXJiang,
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@misc{2014RZengJWuZShaoLSenhadjiHShu,
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@misc{2014SThomasCChatelainLHeutteTPaquet,
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@misc{2014MOginoTShibaharaYNoguchiTTsujita,
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@misc{2014RJKannanSSubramanian,
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@misc{2014ZLiuPLuoXWangXTang,
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@misc{2014DTranLBourdevRFergusLTorresaniMPaluri,
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@misc{2014YTianPLuoXWangXTang,
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@misc{2014HValpola,
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@misc{2014HWangXShiDYYeung,
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@misc{2014THassnerSHarelEPazREnbar,
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@misc{2014DYiZLeiSLiaoSZLi,
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@misc{2014GPapandreouIKokkinosPASavalle,
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@misc{2014KEggenspergerFHutterHHHoosKLeytonBrown,
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@misc{2014AChoromanskaMHenaffMMathieuGBArous,
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@misc{2014RJohnsonTZhang,
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@misc{2014RHeMZhangLWangYJiQYin,
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@misc{2014BKleinGLevGSadehLWolf,
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@misc{2014SSoatto,
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@misc{2014MLeordeanuARaduRSukthankar,
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@misc{2014MProbstFRothlaufJGrahl,
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@misc{2014IHJhuoDTLee,
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@misc{2014KHeJSun,
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@misc{2014CSzegedySReedDErhanDAnguelov,
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@misc{2014LYuKMHermannPBlunsomSPulman,
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@misc{2014YSunXWangXTang,
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@misc{2014PAgrawal,
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@misc{2014XChenAYuille,
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@misc{2014CQinSSongGHuang,
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@misc{2014DYiZLeiSZLi,
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@misc{2014GBertasiusJShiLTorresani,
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@misc{2014MDCollinsPKohli,
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@misc{2014CYZhangCLChen,
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@misc{2014SWoźniakADAlmásiVCristeaYLeblebici,
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@misc{2014JEdwards,
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@misc{2014JHoffmanDPathakTDarrellKSaenko,
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@misc{2014TLiuMLi,
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@misc{2014XLZhang,
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@misc{2014WHuangFSun,
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@misc{2014JChorowskiDBahdanauKChoYBengio,
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@misc{2014TYoshiokaMJFGales,
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@misc{2014FBisioSDecherchiPGastaldoRZunino,
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@misc{2014CHungZXuSSukkarieh,
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@misc{2014RFernandezARendel,
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@misc{2014INwoguYZhou,
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@misc{2014ECakir,
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@misc{2014YChenMZhuNEpainCJin,
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@misc{2014YTaoHChenCQiu,
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@misc{2014PZhangSLiYZhou,
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@misc{2014JWangZDengSWangQGao,
  title = "Training Generalized Feedforword Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation",
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@misc{2014NMohajerinSLWaslander,
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@misc{2014MSchoelerFWörgötterJPaponTKulvicius,
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@misc{2014YBengioIJGoodfellowACourville,
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@misc{2014XQinSXiao,
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@misc{2014YSJeongRJayaramam,
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@misc{2014YLiuPLasangMSiegelQSun,
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@misc{2014DYAmit,
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@misc{2014LCaoCWang,
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@misc{2014CPHungDCuiYChenCLinMLevine,
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@misc{2014ZLiuQHuangJLiQWang,
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@misc{2014MHarandiMSalzmann,
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@misc{2014DYuLDengAutomaticSpeechRecognition:,
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@misc{2014BChenQYinPGuo,
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@misc{2014HYanJLuXZhou,
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@misc{2014WDingRWangFMaoGTaylor,
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@misc{2014EMeedsRHendriksSFarabyMBruntinkMWelling,
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@misc{2014KChalupkaPPeronaFEberhardt,
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@misc{2014ANguyenJYosinskiJClune,
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@misc{2014GKutyniokMSaundersSWrightOYilmaz,
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@misc{2014HSedghiAAnandkumar,
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@misc{2014MJanzaminHSedghiAAnandkumar,
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@misc{2014ITitovEKhoddam,
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@misc{2014MJaderbergKSimonyanAVedaldiAZisserman,
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@misc{2014DBollegalaTMaeharaYYoshidaKKawarabayashi,
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@misc{2014RDingBZhaoSChen,
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@misc{2014RGhoshAMishraGOrchardNVThakor,
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@misc{2014JRedmonAAngelova,
  title = "Real-Time Grasp Detection Using Convolutional Neural Networks",
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@misc{2014CXIEYDUZGAO,
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@misc{2014ZBO,
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@misc{2014RSDixonJGDolfingUMeierJRBellegarda,
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@misc{2014MXiaJGDolfingRSDixonKMGroetheKMisra,
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@misc{2014JGDolfingJRBellegardaUMeierRDixon,
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@misc{2014JGADolfingKMGroetheRSDixonJRBellegarda,
  title = "Multi-script Handwriting Recognition Using A Universal Recognizer",
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@misc{2014DXWuWPanLDXieCXHuang,
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@misc{2014NWiebeAKapoorKMSvore,
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@misc{2014LZhangTYangRJinZHZhou,
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@misc{2014GChen,
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@misc{2014DMeyer,
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@misc{2014MSchuldISinayskiyFPetruccione,
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@misc{2014MKlećDKoržinek,
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@misc{2014MLiangZLiTChenJZeng,
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  keywords = {platform, cancer, medicine, multimodal},
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@misc{2014SMoonSKimHWang,
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@misc{2014ECovielloGLanckriet,
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@misc{2014CMayrJPartzschMNoackSHänzscheSScholze,
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@misc{2014PRAFirminoPSGdeMattosNetoTAEFerreira,
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@misc{2014CClarkAStorkey,
  title = "Teaching Deep Convolutional Neural Networks to Play Go",
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@misc{2014JLehmanJCluneSRisi,
  title = "An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in Ai",
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@misc{2014HZhouJTangHZheng,
  title = "Machine Learning for Medical Applications",
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  keywords = {applications, medicine},
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@misc{2014JLi,
  title = "Feature Weight Tuning for Recursive Neural Networks",
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@misc{2014ETzengJHoffmanNZhangKSaenkoTDarrell,
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@misc{2014SGoyalPBenjamin,
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@misc{2014JChungCGulcehreKHChoYBengio,
  title = "Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling",
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  keywords = {sequence modelling, bengio},
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@misc{2014MJanzaminHSedghiAAnandkumarScoreFunctionFeatures,
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@misc{2014DKadetotadZXuAMohantyPYChenBLinJYe,
  title = "Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning",
  author = "D Kadetotad, Z Xu, A Mohanty, PY Chen, B Lin, J Ye",
  keywords = {architecture,physics,parallel, scalability, natural language processing, dictionary},
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@misc{2014GMontúfarRPascanuKChoYBengio,
  title = "Supplementary Material: On the Number of Linear Regions of Deep Neural Networks",
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@misc{2014HZhaoPPoupartYZhangMLysy,
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@misc{2014TUnterthinerAMayrGKlambauerMSteijaert,
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@misc{2014XLiuKDuhYMatsumotoTIwakura,
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@misc{2014KRohanimanesh,
  title = "An Information Theoretic Approach to Quantifying Text Interestingness",
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  keywords = {natural language processing, information theory},
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@misc{2014AKnittelABlair,
  title = "Sparse, guided feature connections in an Abstract Deep Network",
  author = "A Knittel, A Blair",
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@misc{2014YZhangCShang,
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@misc{2014QQiuGSapiroABronstein,
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@misc{2014SVenugopalanHXuJDonahueMRohrbach,
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@misc{2014AAGarcezTRBesoldLdeRaedtPFöldiakPHitzler,
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@misc{2014FFengRLiXWang,
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@misc{2014RSerizelDGiulianiFBKFBK,
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@misc{2014SGuLRigazio,
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@misc{2014OIsayevDFourchesENMuratovCOsesKRasch,
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@misc{2014YYangJEisenstein,
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@misc{2014ZWuZYuJYuanJZhang,
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@misc{2014AKNoor,
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@misc{2014DPHelmboldPMLong,
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@misc{2014JYangYSunLZhangQZhang,
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@misc{2014MBlaschko,
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@misc{2014BMettlerZKongBLiJAndersh,
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@misc{2014YWangSHu,
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@misc{2014ARodríguezSánchezHNeumannJPiater,
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@misc{2014KHwangWSung,
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@misc{2014HYinXJiaoYChaiBFang,
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@misc{2014SSTirumala,
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@misc{2014KNodaYYamaguchiKNakadaiHGOkunoTOgata,
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@misc{2014APunjaniPAbbeel,
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@misc{2014RMGolden,
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@misc{2014WOuyangXWangXZengSQiuPLuoYTianHLi,
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@misc{2014RGiryesGSapiroAMBronstein,
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@misc{2014ZWangJYangHJinEShechtmanAAgarwala,
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@misc{2014WHLeleCaoFSun,
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@misc{2014JMairalFBachJPonce,
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@misc{2014YPuXYuanLCarin,
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@misc{2014RGoroshinJBrunaJTompsonDEigenYLeCun,
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@misc{2014MKorpusikNSchmidtJDrexlerSCyphersJGlass,
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@misc{2014BGraham,
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@misc{2014CJMaddisonAHuangISutskeverDSilver,
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@misc{2014DMeyerIntroductiontoAutoencoders,
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@misc{2014JHanDZhangXHuLGuoJRenFWu,
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@misc{2014JBergstraBKomerCEliasmithDWardeFarley,
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@misc{2014HSu,
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@misc{2014ZWuYZhangFYuJXiao,
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@misc{2014YTTsaiMCYeh,
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@misc{2014PXieMBilenkoTFinleyRGiladBachrachKLauter,
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@misc{2014YSChouCWSu,
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@misc{2014XWangJChenWFangCLiangCZhangRHu,
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@misc{2014LCChenGPapandreouIKokkinosKMurphy,
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@misc{2014EHofferNAilon,
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@misc{2014MLinSLiXLuoSYan,
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@misc{2014APaulSVenkatasubramanian,
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@misc{2014KGoelRVohra,
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@misc{2014SReedHLeeDAnguelovCSzegedyDErhan,
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@misc{2014CGulcehreYBengio,
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@misc{2014CShenXHuangQZhao,
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@misc{2014JRudyWDingDJImGWTaylor,
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@misc{2014MJanzaminHSedghiAAnandkumarScoreFunctionFeatures,
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@misc{2014JXuHLiSZhou,
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@misc{2014SSarkarVVenugopalanKReddyMGieringJRyde,
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@misc{2014ARomeroNBallasSEKahouAChassangCGatta,
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@misc{2014JDaiYNWu,
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@misc{2014LXueFSu,
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@misc{2014DWangXTan,
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@misc{2014RLiFFengXWangPLuBLi,
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@misc{2014MSahasrabudheAMNamboodiri,
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@misc{2014BEJuel,
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@misc{2014ZYanHZhangBWangSParisYYu,
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@misc{2014ZCaoSLiYLiuWLiHJi,
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@misc{2014SFerrerTRuiz,
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@misc{2014WSongWXuLLiuHWang,
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@misc{2014HTYuFRen,
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@misc{2014YBurdaRBGrosseRSalakhutdinov,
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@misc{2014MDMcDonnellMDTisseraAvanSchaikJTapson,
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@misc{2014DONikelshpur,
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@misc{2014SFeyzabadi,
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@misc{2014BLiuFMoJTao,
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@misc{2014EOyallonSMallat,
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@misc{2014JDongSSoatto,
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@misc{2014ZLiuQHuangJLiQWangSingleImageSuper-Resolution,
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@misc{2014ASinghARajVKGuptaSceneRecognition,
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@misc{2014AJainSAteySVinayakVSrivastava,
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@misc{2014KBISWARANJANSSARKARDRASETHI,
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@misc{2014HAliSNTranASAGarcezTWeyde,
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@misc{2014RKumarRKSharmaASharma,
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@misc{2014TAdams,
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@misc{2014DVRao,
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@misc{2014PHála,
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@misc{2014BWang,
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@misc{2014LZhaoKJia,
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@misc{2014BCKoJHJungJYNam,
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@misc{2014GBRhoads,
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@misc{2014BLDavisTFRodriguezAMReedJStachGesture-basedDermatologicData,
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@misc{2014BLDavisTFRodriguezAMReedJStachColorCorrectionArrangements,
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@misc{2014BLDavisTFRodriguezAMReedJStachPhysiologicAudioFingerprinting,
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@misc{2014MThulinPMasek,
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@misc{2014RMKeller,
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@misc{2014QWangYWangZWang,
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@misc{2014KSTaiSXu,
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@misc{2014CCreusotAMunawar,
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@misc{2014JShenMLee,
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@misc{2014JCummer,
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@misc{2014WZhangRLiHDengLWangWLinSJiDShen,
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@misc{2014JLiHChangJYang,
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@misc{2014CZhangCShen,
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@misc{2015JZhangSNguyenYShangDXuIKosztin,
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@misc{2015YLiuXFengZZhou,
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@misc{2015YHouCWangYJi,
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@misc{2015HManoBSeymour,
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@misc{2015RAManapLShao,
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@misc{2014LGHafemann,
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@misc{2014AGaskellRMills,
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@misc{2014WHuYQianFKSoongYWang,
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@misc{2014DRasmussen,
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@misc{2014PDARSMZdenek,
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@misc{2014SSickertERodnerJDenzler,
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@misc{2014XWangaWTanbHWuc,
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@misc{2014SNieZWangQJi,
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@misc{2014YWangGWCottrell,
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@misc{2014SDSarmaMFreedmanCNayak,
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@misc{2014SGaoLDuanITsang,
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@misc{2014CWDengGBHuangJXuJXTang,
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@misc{2014NDLanePGeorgiev,
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@misc{2014SXueOAbdelHamidHJiangLDaiQLiu,
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@misc{2014GChen,
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@misc{2014RMCCOPPIN,
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@misc{2014BElizaldeMRavanelliKNiDBorthGFriedland,
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@misc{2014DGuptaRGoutamANg,
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@misc{2014BPooleSEDU,
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@misc{2014HYangIPatras,
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@misc{2015GChen,
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@misc{2015RWuSYanYShanQDangGSun,
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@misc{2015MHermansMSorianoJDambrePBienstman,
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@misc{2015SGaoLDuanITsang,
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@misc{2015SXueOAbdelHamidHJiangLDaiQLiu,
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@misc{2015YWangYLiMXiongLJin,
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@misc{2015HZhangYLiuBXieJYu,
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@misc{2015MKächeleMGlodekDZharkovSMeudt,
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@misc{2015DHPhanTDCao,
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@misc{2015CWDengGBHuangJXuJXTang,
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@misc{2015RMCCOPPIN,
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@misc{2015BKehoeSPatilPAbbeelKGoldberg,
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@misc{2015ZGanRHenaoDCarlsonLCarin,
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@misc{2015YZhaoZGaoLWangLZhou,
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@misc{2015DCarlsonVCevherLCarin,
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@misc{2015MKharratzadehTRShultz,
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@misc{2015RKamimura,
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@misc{2015SRomdhani,
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@misc{2015THiroyasuKHanawaUYamamoto,
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@misc{2015LPigouSDielemanPJKindermansBSchrauwen,
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@misc{2015DTuiaRFlamaryNCourty,
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@misc{2015WTayNNuoJBotzheimCKLooNKubota,
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@misc{2015JGirardMREmami,
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@misc{2015DMeyerRDegenneAOmraneHShen,
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@misc{2015JKDuttaBBanerjee,
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@misc{2015IArnaldoKVeeramachaneniASongUOReilly,
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@misc{2015IPotamitis,
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@misc{2015SGMatthews,
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@misc{2015JTayyubATavanaiYGatsoulisAGCohnDCHogg,
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@misc{2015YZhangZDuan,
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@misc{2015PSinghAVermaNSChaudhari,
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@misc{2015GOrchardCMeyerREtienneCummingsCPosch,
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@misc{2015JLinOMorereVChandrasekharAVeillardHGoh,
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@misc{2015PWangWLiZGaoJZhangCTangPOgunbona,
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@misc{2015AGorin,
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@misc{2015DCorneMDissanayakeAPeacockSGalloway,
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@misc{2015MOhzeki,
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@misc{2015RBahgat,
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@misc{2015ZCuiZCaoJYangHRen,
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@misc{2015EZhouZCaoQYin,
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@misc{2015NWangSLiAGuptaDYYeung,
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@misc{2015AGkiokasAICristea,
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@misc{2015EDernerTSvoboda,
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@misc{2015KZhangQLiuYWuMHYang,
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@misc{2015SYinPOuyangLLiuYGuoSWei,
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@misc{2015YFuTMHospedalesTXiangSGong,
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@misc{2015APunjaniMABrubaker,
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@misc{2015MAslanASengurYXiaoHWangMCInceXMa,
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@misc{2015XSongZLiuXYangJYangYQi,
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@misc{2015SWuRLaganièrePPayeur,
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@misc{2015TGindeleSBrechtelRDillmann,
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@misc{2015VMygdalisAIosifidisATefasIPitas,
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@misc{2015MZhou,
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@misc{2015MNStolarMLechISBurnett,
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@misc{2015QMaITanigawaMMurata,
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@misc{2015ASobhani,
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@misc{2015İAtılSKalkan,
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@misc{2015YYuanLMouXLu,
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  keywords = {architecture,scene recognition,ct,cognition},
}

@misc{2015YDengYZhong,
  title = "Keystroke Dynamics Advances for Mobile Devices Using Deep Neural Network",
  author = "Y Deng, Y Zhong",
  keywords = {deep neural network,mobile},
}

@misc{2015JLiangKKelly,
  title = "Training Stacked Denoising Autoencoders for Representation Learning",
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}

@misc{2015YDengYZhongKeystrokeDynamicsUser,
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@misc{2015YChenXZhaoXJia,
  title = "Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network",
  author = "Y Chen, X Zhao, X Jia",
  keywords = {spectral,ct,classification,deep belief network,hyperspectral,spatial},
}

@misc{2015GFerroniRBonfigliEPrincipiSSquartiniFPiazza,
  title = "Neural Networks Based Methods for Voice Activity Detection in a Multi-room Domestic Environment",
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@misc{2015NJieBXiongzhuLZhongWYao,
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@misc{2015HZenHSak,
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@misc{2015XShulanWJilin,
  title = "The Research on Cross-Language Emotion Recognition Algorithm for Hearing Aid",
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@misc{2015SYinCLiuZZhangYLinDWangJTejedorTFang,
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@misc{2015JHosangMOmranRBenensonBSchiele,
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@misc{2015WGongYHuangJGonzalez,
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@misc{2015WHuYHuangWLiFZhangHLi,
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}

@misc{2015SLaflammeSRuan,
  title = "Where am I? Predicting Montreal Neighbourhoods from Google Street View Images",
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  keywords = {ct,predicting},
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@misc{2015MLessmannRPWürtz,
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  keywords = {object recognition,invariant,ct,temporal,cognition,hierarchical},
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@misc{2015YShu,
  title = "Deep Convolutional Neural Networks for Object Extraction from High Spatial Resolution Remotely Sensed Imagery",
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  keywords = {ct,convolutional,imagery,convolutional neural network,spatial},
}

@misc{2015BZhang,
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@misc{2015RSkynerJMcDonaghCRGroomTvanMourik,
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@misc{2015YMrouehEMarcheretVGoel,
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@misc{2015AAshariSTatikondaMBoehmBReinwald,
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@misc{2015JLuVBehboodPHaoHZuoSXueGZhang,
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@misc{2015SZhangRBenensonBSchiele,
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@misc{2015DEWrightSJSmarttKWSmithPMillerRKotak,
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@misc{2015SRYoung,
  title = "Scalable Hardware Efficient Deep Spatio-Temporal Inference Networks",
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@misc{2015DLiYTianHXu,
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  keywords = {ct,support vector machine},
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@misc{2015WZhuJMiaoLQing,
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@misc{2015LZhangLLinXWuSDingLZhang,
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@misc{2015MPeemenBMesmanHCorporaal,
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@misc{2015WKeYZhangPWeiQYeJJiao,
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@misc{2015MPeemenBMesmanHCorporaalInter-TileReuseOptimization,
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@misc{2015DDaiRTimofteLVanGool,
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@misc{2015VDCalhoun,
  title = "A spectrum of sharing: maximization of information content for brain imaging data",
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  keywords = {ct,brain,imaging},
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@misc{2015ZCaoFWeiLDongSLiMZhou,
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@misc{2015LLWangNHCYung,
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@misc{2015TWuBLiSCZhu,
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@misc{2015CMaCLiu,
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@misc{2015JKONGKSUNMJIANGHHUOAYIMING,
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  keywords = {ct,regression,face},
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@misc{2015YLWang,
  title = "Interactions Between Gaussian Processes and Bayesian Estimation",
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  keywords = {estimation,ct,bayesian,gaussian},
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@misc{2015XChenSXiangCLLiuCHPan,
  title = "Aircraft Detection by Deep Convolutional Neural Networks",
  author = "X Chen, S Xiang, CL Liu, CH Pan",
  keywords = {ct,convolutional,convolutional neural network,aircraft detection},
}

@misc{2015QLvYDouXNiuJXuJXuFXia,
  title = "Urban Land Use and Land Cover Classification Using Remotely Sensed Sar Data through Deep Belief Networks",
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@misc{2015PSSattigeri,
  title = "Exploring Latent Structure in Data: Algorithms and Implementations",
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  keywords = {latent structure,ct,algorithm},
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@misc{2015SKoyamadaYShikauchiKNakaeMKoyamaSIshii,
  title = "Deep learning of fMRI big data: a novel approach to subject-transfer decoding",
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  keywords = {big data,ct,big,fmri,mri},
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@misc{2015YSunDLiangXWangXTang,
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@misc{2015RKSarvadevabhatlaRVBabu,
  title = "Freehand Sketch Recognition Using Deep Features",
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@misc{2015XQiCGLiGZhaoXHongMPietikäinen,
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@misc{2015OMorèreHGohAVeillardVChandrasekharJLin,
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@misc{2015ZFengLJinDTaoSHuang,
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@misc{2015YYangTMHospedales,
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@misc{2015HHuangTToyoizumi,
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  keywords = {ct,restricted boltzmann machine,theory},
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@misc{2015MCicconetDGeigerMWerman,
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@misc{2015SZhangHJiang,
  title = "Hybrid Orthogonal Projection and Estimation (hope): A New Framework to Probe and Learn Neural Networks",
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@misc{2015SBondugulaVManjunathaLSDavisDDoermann,
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@misc{2015CSagonasYPanagakisSZafeiriouMPantic,
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@misc{2015TTranTDNguyenDPhungSVenkatesh,
  title = "Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)",
  author = "T Tran, TD Nguyen, D Phung, S Venkatesh",
  keywords = {ct,rbm,restricted boltzmann machine,restricted boltzmann machines,medical},
}

@misc{2015JWeng,
  title = "Brain as an Emergent Finite Automaton: A Theory and Three Theorems",
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  keywords = {brain,theory},
}

@misc{2015MYasuda,
  title = "Monte Carlo Integration Using Spatial Structure of Markov Random Field",
  author = "M Yasuda",
  keywords = {ct,monte carlo,random field,spatial},
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@misc{2015MOberwegerPWohlhartVLepetit,
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@misc{2015DMenottiGChiachiaAPintoWSchwartzHPedrini,
  title = "Deep Representations for Iris, Face, and Fingerprint Spoofing Detection",
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  keywords = {ct,face},
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@misc{2015BKKhonglahBDSarmaSRMPrasanna,
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  keywords = {ct,deep belief network,vowel},
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@misc{2015TElDokor,
  title = "Method and Apparatus for Spawning Specialist Belief Propagation Networks For Adjusting Exposure Settings",
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@misc{2015SAnandaYogendran,
  title = "Method and System for Predicting Spatial and Temporal Distributions of Therapeutic Substance Carriers",
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  keywords = {ct,temporal,predicting,spatial},
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@misc{2015DGhadiyaramABovik,
  title = "Electronic Imaging & Signal Processing Automatic quality prediction of authentically distorted pictures",
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  keywords = {ct,imaging,prediction},
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@misc{2015TKlatzerTPock,
  title = "Continuous Hyper-parameter Learning for Support Vector Machines",
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  keywords = {ct,parameter,support vector machine,support vector machines},
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@misc{2015YHuangRWuYSunWWangXDing,
  title = "Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy",
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  keywords = {convolutional,convolutional neural network,cognition,vehicle},
}

@misc{2015EPIjjinaCKMohan,
  title = "Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks",
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  keywords = {features,ct,convolutional,feature,convolutional neural network,cognition,action recognition},
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@misc{2015NNguyenAYoshitaka,
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  keywords = {ct,cognition,subspace analysis,action recognition,algorithm},
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@misc{2015BGrahamJReizensteinLRobinson,
  title = "Efficient batchwise dropout training using submatrices",
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@misc{2015APayanGMontana,
  title = "Predicting Alzheimer's disease: a neuroimaging study with 3d convolutional neural networks",
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@misc{2015KHLauYHTayFLLo,
  title = "A Hmax with Llc for visual recognition",
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@misc{2015GPapandreouLCChenKMurphyALYuille,
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@misc{2015KXuJBaRKirosACourvilleRSalakhutdinov,
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@misc{2015KHeXZhangSRenJSun,
  title = "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification",
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@misc{2015MHirnNPoilvertSMallat,
  title = "Quantum Energy Regression using Scattering Transforms",
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@misc{2015QWangJFangYYuan,
  title = "Adaptive Road Detection via Context-aware Label Transfer",
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  keywords = {road detection,ct,adaptive},
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@misc{2015XGaoYJiangTChenDHuang,
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@misc{2015SYHuangYHuangNSuri,
  title = "Event Pattern Discovery on Ids Traces of Cloud Services",
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@misc{2015YLiCYChenWWWasserman,
  title = "Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters",
  author = "Y Li, CY Chen, WW Wasserman",
  keywords = {ct,feature,feature selection,theory},
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@misc{2015JGaoXHeLDeng,
  title = "Deep Learning for Web Search and Natural Language Processing",
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  keywords = {search,web search,natural language processing},
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@misc{2015YXiaLZhangWXuZShanYLiu,
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@misc{2015BLiuJLiuHLu,
  title = "Detectionn guided deconvolutional network for hierarchical feature learning",
  author = "B Liu, J Liu, H Lu",
  keywords = {ct,convolutional,feature,convolutional network,hierarchical},
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@misc{2015PKuhadAYassineSShirmohammadi,
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@misc{2015KNiRPearceKBoakyeBVanEssenDBorth,
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@misc{2015JAMiñarroGiménezOMarínAlonsoMSamwald,
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  keywords = {corpora,medical},
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@misc{2015XNiuYZhuXZhang,
  title = "DeepSense: A novel learning mechanism for traffic prediction with taxi Gps traces",
  author = "X Niu, Y Zhu, X Zhang",
  keywords = {ct,traffic prediction,traffic,prediction},
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@misc{2015SZhengSJayasumanaBRomeraParedesVVineet,
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@misc{2015DMaclaurinDDuvenaudRPAdams,
  title = "Gradient-based Hyperparameter Optimization through Reversible Learning",
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@misc{2015SIoffeCSzegedy,
  title = "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift",
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@misc{2015CCaiYXuDKeKSu,
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@misc{2015YChengFXYuRSFerisSKumarAChoudhary,
  title = "Fast Neural Networks with Circulant Projections",
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@misc{2015AJRSimpson,
  title = "Over-Sampling in a Deep Neural Network",
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@misc{2015ABelletAHabrardMSebban,
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@misc{2015MGermainKGregorIMurrayHLarochelle,
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@misc{2015GKejelaRMEstevesCRong,
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@misc{2015VKIthapuSRaviVSingh,
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@misc{2015BWuSLyuBGHuQJi,
  title = "Multi-label Learning with Missing Labels for Image Annotation and Facial Action Unit Recognition",
  author = "B Wu, S Lyu, BG Hu, Q Ji",
  keywords = {missing,ct,multi-label,facial,cognition},
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@misc{2015MBackstromDCOOPER,
  title = "'Hiring a Nashville sensation': using narrative learning to develop the problem solving skills of contract law students",
  author = "M Backstrom, D COOPER",
  keywords = {ct},
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@misc{2015JKarhunenTRaikoKHCho,
  title = "Unsupervised Deep Learning: A Short Review",
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@misc{2015DSejdinovic,
  title = "Hypothesis Testing with Kernel Embeddings on Big and Interdependent Data",
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@misc{2015DJCookNCKrishnan,
  title = "Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data",
  author = "DJ Cook, NC Krishnan",
  keywords = {human behavior,ct,sensor data,predicting},
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@misc{2015CCWangCHHuangCJLin,
  title = "Subsampled Hessian Newton Methods for Su-pervised Learning",
  author = "CC Wang, CH Huang, CJ Lin",
  keywords = {newton,hessian},
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@misc{2015SGuptaPArbeláezRGirshickJMalik,
  title = "Inferring 3d Object Pose in Rgb-d Images",
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@misc{2015LLiuLShaoXLiKLu,
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@misc{2015JMaRPSheridanALiawGDahlVSvetnik,
  title = "Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships",
  author = "J Ma, RP Sheridan, A Liaw, G Dahl, V Svetnik",
  keywords = {ct},
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@misc{2015YBengioDHLeeJBornscheinZLin,
  title = "Towards Biologically Plausible Deep Learning",
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@misc{2015ZZuoGWangBShuaiLZhaoQYang,
  title = "Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification",
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@misc{2015XLiFZhaoYGuo,
  title = "Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels",
  author = "X Li, F Zhao, Y Guo",
  keywords = {ct,multi-label,restricted boltzmann machine,restricted boltzmann machines},
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@misc{2015ABuonannoFANPalmieri,
  title = "Towards Building Deep Networks with Bayesian Factor Graphs",
  author = "A Buonanno, FAN Palmieri",
  keywords = {ct,bayesian},
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@misc{2015AJRSimpsonAbstractLearningvia,
  title = "Abstract Learning via Demodulation in a Deep Neural Network",
  author = "AJR Simpson",
  keywords = {ct,deep neural network,demodulation},
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@misc{2015AJRSimpsonDeepTransform:Error,
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  author = "AJR Simpson",
  keywords = {ct,error correction},
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@misc{2015YNDauphinHdeVriesJChungYBengio,
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@misc{2015PSHuangMKimMHasegawaJohnson,
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@misc{2015SKeshmiriXZhengCMChewCKPang,
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@misc{2015ZJunlinCHengHTongwenXHuiping,
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@misc{2015CYTsaiDDCox,
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@misc{2015YZhuRUrtasunRSalakhutdinovSFidler,
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@misc{2015BWilliamson,
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@misc{2015HSchaferJRaabBKeinertMMeyerMStamminger,
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@misc{2015KGregorIDanihelkaAGravesDWierstra,
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@misc{2015KSelyuninDRatasichEBartocciRGrosu,
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@misc{2015SMukherjeeSKDMandal,
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@misc{2015MSahasrabudhe,
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@misc{2015MAlber,
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@misc{2015MThom,
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@misc{2015LMcAfeeKOlukotun,
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@misc{2015ABadirZZeybekogluPKaracayNGöktepeSTopcu,
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@misc{2015JSnoekORippelKSwerskyRKirosNSatish,
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@misc{2015JLiuKZhaoBKusyJWenRJurdak,
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@misc{2015THuangLLanXFangPAnJMinFWang,
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@misc{2015AGangopadhyaySMTripathiIJindalSRaman,
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@misc{2015JvandeWeijerFSKhan,
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@misc{2015TKuleszaMBurnettWKWongSStumpf,
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@misc{2015DPGuralnikDEKoditschek,
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@misc{2015VMnihKKavukcuogluDSilverAARusuJVeness,
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@misc{2015DAClevertTUnterthinerAMayrHRamsauer,
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@misc{2015LAJeniJFCohnTKanade,
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@misc{2015ZCuiSSGeZCaoJYangHRen,
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@misc{2015MMNajafabadiFVillanustreTMKhoshgoftaar,
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@misc{2015TDrugmanYStylianouLChenXChenMJFGales,
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@misc{2015NYHammerlaJMFisherPAndrasLRochester,
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@misc{2015JAHendersonTTAGibsonJWiles,
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@misc{2015BSchölkopf,
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@misc{2015PVerbancsicsJHarguess,
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@misc{2015PWohlhartVLepetit,
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@misc{2015YLiFSohelMBennamounHLei,
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@misc{2015XWangRGuoCKambhamettu,
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@misc{2015HPalangiLDengYShenJGaoXHeJChen,
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@misc{2015JIbarzYBulatovIGoodfellow,
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@misc{2015YGJiangZWuJWangXXueSFChang,
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@misc{2015JPadmanabhanMJJohnsonPremkumar,
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@misc{2015XZhengZZengZChenYYuCRong,
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@misc{2015YPerwej,
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@misc{2015MDobrotaMVujošević,
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@misc{2015FLiuCShenGLinIReid,
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@misc{2015JJohnsonZJiangMYanez,
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@misc{2015CXiongLLiuXZhaoSYanTKKim,
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@misc{2015ARaySRajeswarSChaudhury,
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@misc{2015YHChenSUParkDWeiGNewstadtMJackson,
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@misc{2015BLiaoJXuJLvSZhou,
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@misc{2015QBNguyenTTVuCMLuong,
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@misc{2015CLChenCYZhangLChenMGan,
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@misc{2015CZhangPLiGSunYGuanBXiaoJCong,
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@misc{2015SRKuppannagariVKPrasanna,
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@misc{2015SAroraEWMayrNOllinger,
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@misc{2015JKuenKMLimCPLee,
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@misc{2015HSunHMaWYihCTTsaiJLiuMWChang,
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@misc{2015SJansen,
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@misc{2015MRashwanAAlSallabHMRaafatARafea,
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@misc{2015RFuJGuoBQinWCheHWangTLiu,
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@misc{2015MWeinmannBJutziSHinzCMallet,
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@misc{2015JLiDJurafskyEHovy,
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@misc{2015DChengJWangXWeiNLiuSZhangYGong,
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@misc{2015XZhangFXYuSFChangSWang,
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@misc{2015JSunWCaoZXuJPonce,
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@misc{2015JWHaKMKimBTZhang,
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@misc{2015ARaySRajeswarSChaudhuryTextrecognitionusing,
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@misc{2015AJoulinTMikolov,
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@misc{2015ATorabiCPalHLarochelleACourville,
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@misc{2015SHuangHChenXDaiJChen,
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@misc{2015LYaoATorabiKChoNBallasCPalHLarochelle,
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@misc{2015SVajdaYRangoniHCecotti,
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@misc{2015HLiYLiFPorikli,
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@misc{2015GBRonsivalleSCartaVMetusMOrlando,
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@misc{2015MOYahaya,
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@misc{2015WWangGChenTTADinhJGaoBCOoiKLTan,
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@misc{2015JHanDZhangSWenLGuoTLiuXLi,
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@misc{2015APaulSVenkatasubramanian,
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@misc{2015EMFedrianiMChavesMaza,
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@misc{2015VfromEmbedsGHintonLDengDYuGDahl,
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@misc{2015SYangLAnMKafaiBBhanu,
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@misc{2015BLiuJFengMLiuHHuXWang,
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@misc{2015SAryalRGutierrezOsuna,
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@misc{2015ZChenLMaLXuCTanYYan,
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@misc{2015JDaiKHeJSun,
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@misc{2015YSunBHuJDengXLi,
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@misc{2015WWangJYangJXiaoSLiDZhou,
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@misc{2015HForoughiNRayHZhang,
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@misc{2015BChudasamaCDuvediJPThomas,
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@misc{2015CHazırbasJDieboldDCremers,
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@misc{2015DHadfieldMenellAXLeeCFinnETzengSHuang,
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@misc{2015SEKahouXBouthillierPLamblinCGulcehre,
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@misc{2015MKimLRigazio,
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@misc{2015ANikfarjamASarkerKOConnorRGinnGGonzalez,
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@misc{2015WShaoXTianPWang,
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@misc{2015MProbst,
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@misc{2015YHuangXShiJSuYChenGHuang,
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@misc{2015XLiangSLiuXShenJYangLLiuLLinSYan,
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@misc{2015HKangJHaJShinHGLeeYWang,
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@misc{2015JLuVELiongXZhouJZhou,
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@misc{2015HLobelRVidalASoto,
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@misc{2015GCybenko,
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@misc{2015NTishbyNZaslavsky,
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@misc{2015XZhaoXShiSZhang,
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@misc{2015AGkiokasEGTsardouliasPAMitkas,
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@misc{2015MUzairFShafaitBGhanemAMian,
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@misc{2015PLeWZuidema,
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@misc{2015ASharmaOTuzelDWJacobs,
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@misc{2015TDKulkarniWWhitneyPKohliJBTenenbaum,
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@misc{2015MWangZLuHLiQLiu,
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@misc{2015AGSchwingRUrtasun,
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@misc{2015JBrunaSChintalaYLeCunSPiantinoASzlam,
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@misc{2015MOhzekiL_1-regularizedBoltzmannmachine,
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@misc{2015XZhangYFuAZangLSigalGAgam,
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@misc{2015FDiehlAJauch,
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@misc{2015WZShaoMElad,
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@misc{2015FContiLBenini,
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@misc{2015PHuberZHFengWChristmasJKittlerMRätsch,
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@misc{2015RGopalanRLiVMPatelRChellappa,
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@misc{2015OLemonAEshghi,
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@misc{2015JBaiYWuJZhangFChen,
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@misc{2015LEBeerKRodriguezCTaylorNMartinezJones,
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@misc{2015MMSaleem,
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@misc{2015HWuXZhangLZhangXZou,
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@misc{2015CGulcehreOFiratKXuKChoLBarraultHCLin,
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@misc{2015SFenwick,
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@misc{2015JMansanetAAlbiolRParedesAAlbiol,
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@misc{2015EHazanKYLevySShalevSwartz,
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@misc{2015FSchroffDKalenichenkoJPhilbin,
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@misc{2015PHuangXHeJGaoLDengAAceroLPHeck,
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@misc{2015ZChengDSoudryZMaoZLan,
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@misc{2015NKarnaISuwardiNMaulidevi,
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@misc{2015LJDengWGuoTZHuang,
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@misc{2015YYanXCYinSLiMYangHWHao,
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@misc{2015NJojicAPerinaDKim,
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@misc{2015JEslavaRios,
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  keywords = {ct,medicine,cancer},
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@misc{2015JHeaton,
  title = "Replicating the Research of the Paper:“Application of Artificial Neural Network in Detection of Probing Attacks”",
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  keywords = {search,ct,security},
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@misc{2015JSohlDicksteinEAWeissNMaheswaranathan,
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@misc{2015VOrdonezWLiuJDengYChoiACBergTLBerg,
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@misc{2015CZhongDKaramshukNSastry,
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@misc{2015LZhengKIdrissiCGarciaSDuffnerABaskurt,
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@misc{2015ACampbellVCiesielksiAKQin,
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@misc{2015ZHUANGWXUEQMAO,
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@misc{2015ZMingABugeauJLRouasTShochi,
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@misc{2015LLiu,
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@misc{2015MSGashlerZKindle,
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@misc{2015THuynhYHeSRüger,
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@misc{2015TPfisterKSimonyanJCharlesAZisserman,
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@misc{2015DGhadiyaramABovikFeaturemapsdriven,
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@misc{2015RBruecknerBSchuller,
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@misc{2015CZhangJChengYZhangJLiuCLiangJPang,
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@misc{2015PBaldiPSadowskiDWhiteson,
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@misc{2015IGoodfellow,
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@misc{2015XMaHYuYWangYWang,
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  keywords = {network congestion,ct,theory,prediction},
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@misc{2015SParkKBongDShinJLeeSChoiHJYoo,
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@misc{2015ASuzaniARasoulianASeitelSFelsRNRohling,
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@misc{2015OYAlJarrahPDYooSMuhaidatGKKaragiannidis,
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@misc{2015XNiuYZhuQCaoXZhangWXieKZheng,
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@misc{2015WBöhmerJTSpringenbergJBoedecker,
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@misc{2015IHongKBongDShinSParkKLeeYKimHJYoo,
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  keywords = {3d,ct,applications,cognition,mobile},
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@misc{2015YZHUCYAOXBAI,
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@misc{2015HAramoImmonenJJussilaJHuhtamäki,
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@misc{2015MGheisariMSBaghshah,
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@misc{2015DMaturanaSScherer,
  title = "3d Convolutional Neural Networks for Landing Zone Detection from LiDAR",
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@misc{2015BSafadiNDerbasAHamadiMBudnikPMulhem,
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@misc{2015WMCzarneckiJTabor,
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@misc{2015KMiuraTHarada,
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@misc{2015HRRothAFaragLLuEBTurkbeyRMSummers,
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@misc{2015SRongaliAPSarathChandarBRavindran,
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@misc{2015AJRSimpsonDeepTransform:Time-Domain,
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@misc{2015BWSchuller,
  title = "Modelling User Affect and Sentiment in Intelligent User Interfaces: A Tutorial Overview",
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@misc{2015SHuangMElhoseinyAElgammalDYang,
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@misc{2015PAgarwalAKumar,
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@misc{2015JMartensRGrosse,
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@misc{2015GAlainYBengioLYaoJYosinski,
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@misc{2015ASWebb,
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@misc{2015GAcamporaPFoggiaASaggeseMVento,
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@misc{2015YSManjiliMNiknamfar,
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@misc{2015JGauthier,
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@misc{2015ZSunYFanBPFLelieveldtMvandeGiessen,
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@misc{2015ALacoste,
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@misc{2015AElkahkyYSongXHe,
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@misc{2015TFlynnJOlsonGOrchard,
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@misc{2015ALuWWangMBansalKGimpelKLivescu,
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@misc{2015SRazakarivonyFJurie,
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@misc{2015SDielemanKWWillettJDambre,
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@misc{2015MHaloi,
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@misc{2015WShenXWangYWangXBaiZZhang,
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@misc{2015FAnselmiLRosascoTPoggio,
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@misc{2015AJRSimpsonDeepTransform:Cocktail,
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@misc{2015KLiGQiJYeKAHua,
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@misc{2015AMajumdar,
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@misc{2015MSongZSunKLiuXLang,
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@misc{2015JYoungNHawes,
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@misc{2015WYWangMWen,
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@misc{2015LIUKaiLZhangYSun,
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@misc{2015MTeichmannFHHamker,
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@misc{2015XLiSZhuLChen,
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@misc{2015SFeng,
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@misc{2015XWang,
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@misc{2015AJRSimpson,
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@misc{2015JLerougeRHeraultCChatelainFJardin,
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@misc{2015JFGrafsgaardSYLeeBWMottKEBoyerJCLester,
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@misc{2015EMansimovNSrivastavaRSalakhutdinov,
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@misc{2015ZJiJWeng,
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@misc{2015NVKMedathatiHNeumannGMassonPKornprobst,
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@misc{2015WSheng,
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@misc{2015TNikoskinen,
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@misc{2015LMuñozGonzález,
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@misc{2015BLSturmCKireliukJLarsen,
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@misc{2015ARubioMVillamizarLFerrazAPenateSanchez,
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@misc{2015SDasBUPedroniPMerollaJArthurASCassidy,
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@misc{2015KLoewkeSMMaddah,
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@misc{2015RLUNWZHAO,
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@misc{2015CLiuWXuQWuGYang,
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@misc{2015PJindalRMundra,
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@misc{2015YZhang,
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@misc{2015VSundaresanJLin,
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@misc{2015AParanjapeAMudassir,
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