model-agnostic meta-learning

Meta-Learning with Neural Tangent Kernels ICLR 2021 Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning NeurIPS 2021 When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021 X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL 2021 An Investigation of Few-Shot Learning in Spoken Term Classification Interspeech 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning Interspeech 2020 ES-MAML: Simple Hessian-Free Meta Learning ICLR 2020 Learning Fast Adaptation on Cross-Accented Speech Recognition Interspeech 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Forget for Meta-Learning CVPR 2020 Meta-Learning for Generalized Zero-Shot Learning AAAI 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020 Modeling and Optimization Trade-off in Meta-learning NeurIPS 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 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 OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification NeurIPS 2020 Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ICLR 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 Tracking by Instance Detection: A Meta-Learning Approach CVPR 2020 Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing ACL 2019