Awesome-Bayesian-Meta-learning

Meta-learning about Bayesian

Paper

1.Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs,ICML-2020,[Paper]

2.Conditional Neural Processes,-2018,[Paper]

3.Meta-Learning Probabilistic Inference For Prediction,ICLR-2019[Paper]

4.ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms,[Paper]

5.Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction,ICDL-Epirob 2020,[Paper]

6.Gradient-EM Bayesian Meta-learning,[Paper]

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks,2020https://arxiv.org/abs/1905.12917

Bayesian Zero-Shot Learning，ECCV 2020,https://arxiv.org/abs/1907.09624

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference，2019，https://arxiv.org/abs/1907.11864

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels，NeurIPS 2020,https://arxiv.org/abs/1910.05199

Learning and Meta-Learning of Stochastic Advection-Diffusion-Reaction Systems from Sparse Measurements，2019，https://arxiv.org/abs/1910.09098

Statistical Model Aggregation via Parameter Matching，NeurIPS 2019,https://arxiv.org/abs/1911.00218

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling，2019，https://arxiv.org/abs/1911.04695

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees，2020，https://arxiv.org/abs/2002.05551

PAC-Bayesian Meta-learning with Implicit Prior and Posterior，2020，https://arxiv.org/abs/2003.02455

Bayesian Online Meta-Learning with Laplace Approximation，2020，https://arxiv.org/abs/2005.00146

Meta Learning as Bayes Risk Minimization，2020，https://arxiv.org/abs/2006.01488

Gradient-EM Bayesian Meta-learning，https://arxiv.org/abs/2006.11764

course

CS 330: Deep Multi-Task and Meta Learning from cs330.stanford [link]

Datasets

Survey

Groups

Books

PPT