Learning Paradigms

Meta-Learning with Shared Amortized Variational Inference ICML 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Meta-Neighborhoods NeurIPS 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NeurIPS 2020 MetaSDF: Meta-Learning Signed Distance Functions NeurIPS 2020 Meta-trained agents implement Bayes-optimal agents NeurIPS 2020 Meta-Transfer Learning for Code-Switched Speech Recognition ACL 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020 Multigrid Neural Memory ICML 2020 Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020 Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020 Neural Complexity Measures NeurIPS 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NeurIPS 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 On a possibility of gradual model-learning PGM 2020 One Model, Many Languages: Meta-Learning for Multilingual Text-to-Speech Interspeech 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Online Parameter-Free Learning of Multiple Low Variance Tasks UAI 2020 Online Structured Meta-learning NeurIPS 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020