Learning Paradigms

Meta-Learning MCMC Proposals NeurIPS 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 MetaReg: Towards Domain Generalization using Meta-Regularization NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Model-Based Reinforcement Learning via Meta-Policy Optimization CoRL 2018 Modular Continual Learning in a Unified Visual Environment ICLR 2018 Modular meta-learning CoRL 2018 Natural Language to Structured Query Generation via Meta-Learning NAACL 2018 Parsimonious Bayesian deep networks NeurIPS 2018 Predicting accuracy on large datasets from smaller pilot data ACL 2018 Probabilistic Matrix Factorization for Automated Machine Learning NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CoRL 2018 Task-Embedded Control Networks for Few-Shot Imitation Learning CoRL 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018 Transfer Learning via Learning to Transfer ICML 2018 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 A Meta-Learning Perspective on Cold-Start Recommendations for Items NeurIPS 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Boosting Neural Machine Translation IJCNLP 2017 Collaborative PAC Learning NeurIPS 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017