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model-agnostic meta-learning

66 papers

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Also known as

MAML

Co-occurring keywords

few-shot learning (3390) task adaptation (81) representation learning (6174) transfer learning (5442) gradient descent (1143) continual learning (1164) multi-task learning (2556) bilevel optimization (193) fast adaptation (22) catastrophic forgetting (939)

Papers

ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples INTERSPEECH 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NIPS 2021
Few-Shot One-Class Classification via Meta-Learning AAAI 2021
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation CVPR 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
Meta Learning in the Continuous Time Limit AISTATS 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
How Fine-Tuning Allows for Effective Meta-Learning NIPS 2021
Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning NIPS 2021
An Investigation of Few-Shot Learning in Spoken Term Classification INTERSPEECH 2020
Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning INTERSPEECH 2020
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition INTERSPEECH 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
Learning to Forget for Meta-Learning CVPR 2020
Tracking by Instance Detection: A Meta-Learning Approach CVPR 2020
Modeling and Optimization Trade-off in Meta-learning NIPS 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020