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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Meta Learning in the Continuous Time Limit AISTATS 2021
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021
When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
Fast Adaptation with Linearized Neural Networks AISTATS 2021
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Meta Module Network for Compositional Visual Reasoning WACV 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning NAACL 2021
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks NAACL 2021
X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL 2021
Pre-training with Meta Learning for Chinese Word Segmentation NAACL 2021
Meta-Learning for Domain Generalization in Semantic Parsing NAACL 2021
How Important is the Train-Validation Split in Meta-Learning? ICML 2021
Meta-Thompson Sampling ICML 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021
Provable Meta-Learning of Linear Representations ICML 2021
Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021
Model Fusion for Personalized Learning ICML 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021
Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021