deeplearning-paper-summaries

Summarizing some deep learning papers that I've read. Papers are selected from here and here.

Note: List will be continually updated.

Convolutional Neural Network Models

• Summary: "ImageNet Classification with Deep Convolutional Neural Networks", Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. (2012)
• Summary: "Maxout Networks", I. Goodfellow et al. (2013)
• Summary: "Network in Network", M. Lin et al. (2013)
• Summary: "Very Deep Convolutional Networks for Large-Scale Image Recognition", Simonyan, Karen, and Andrew Zisserman (2014)
• Summary: "Deep residual learning for image recognition.", He, Kaiming, et al. (2015)

Object Detection

• Summary: "Deep neural networks for object detection", Szegedy, Christian, Alexander Toshev, and Dumitru Erhan (2013)
• Summary: "Rich feature hierarchies for accurate object detection and semantic segmentation", Girshick, Ross, et al. (2014)
• Summary: "Spatial pyramid pooling in deep convolutional networks for visual recognition.", He, Kaiming, et al. (2014)
• Summary: "Fast r-cnn.", Girshick, Ross. (2015)
• Summary: "Faster R-CNN: Towards real-time object detection with region proposal networks.", Ren, Shaoqing, et al. (2015)
• Summary: "You only look once: Unified, real-time object detection", Redmon, Joseph, et al. (2015)
• Summary: "Mask R-CNN", He, Gkioxari, et al. (2017)

NLP(Natural Language Processing) / RNNs

• Summary: "Distributed Representations of Words and Phrases and their Compositionality", Mikolov, et al. (2013)
• Summary: "Generating Sequences With Recurrent Neural Networks", Graves, Alex (2013)
• Summary: "GloVe: Global Vectors for Word Representation", J. Pennington et al. (2014)
• Summary: "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation", Cho, Kyunghyun, et al. (2014)
• Summary: "Neural Machine Translation by Jointly Learning to Align and Translate", Bahdanau, Dzmitry, KyungHyun Cho, and Yoshua Bengio (2014)
• Summary: "Sequence to sequence learning with neural networks", Sutskever, Ilya, Oriol Vinyals, and Quoc V. Le (2014)
• Summary: "A neural conversational model.", Vinyals, Oriol, and Quoc Le. (2015)
• Summary: "Effective Approaches to Attention-based Neural Machine Translation", Luong, Minh-Thang, Hieu Pham, and Christopher D. Manning. (2015)

Art

• Summary: "A Neural Algorithm of Artistic Style", Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. (2015)
• Summary: "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.", Ulyanov, Dmitry and Lebedev, Vadim, et al. (2016)