Meta-Learning

Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020 Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020 Multitask Soft Option Learning UAI 2020 Multi-Task Supervised Pretraining for Neural Domain Adaptation ACL 2020 Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search AAAI 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 Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 On Efficiency in Hierarchical Reinforcement Learning NeurIPS 2020 One Model, Many Languages: Meta-Learning for Multilingual Text-to-Speech Interspeech 2020 Online Batch Decision-Making with High-Dimensional Covariates AISTATS 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NeurIPS 2020 Online Parameter-Free Learning of Multiple Low Variance Tasks UAI 2020 Online Structured Meta-learning NeurIPS 2020 On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment EMNLP 2020 On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020 On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020 On the Iteration Complexity of Hypergradient Computation ICML 2020 OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification NeurIPS 2020 Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach NeurIPS 2020 Principled Weight Initialization for Hypernetworks ICLR 2020