model-agnostic meta-learning

Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 MAML is a Noisy Contrastive Learner in Classification ICLR 2022 MetaPrompting: Learning to Learn Better Prompts COLING 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022 Provable Generalization of Overparameterized Meta-learning Trained with SGD NeurIPS 2022 Rapid Model Architecture Adaption for Meta-Learning NeurIPS 2022 Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning COLING 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022 ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022 Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning JMLR 2022 Transferring Hierarchical Structures with Dual Meta Imitation Learning CoRL 2022 Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate ICLR 2022 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples Interspeech 2021 Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation CVPR 2021 Fast Training Method for Stochastic Compositional Optimization Problems NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning NeurIPS 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NeurIPS 2021 How Fine-Tuning Allows for Effective Meta-Learning NeurIPS 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Meta Learning in the Continuous Time Limit AISTATS 2021 Meta-learning with negative learning rates ICLR 2021