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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Active Bayesian Causal Inference NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies NIPS 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NIPS 2022
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification NIPS 2022
Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification AACL 2022
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding AACL 2022
Learngene: From Open-World to Your Learning Task AAAI 2022
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification NIPS 2022
Hybrid Graph Neural Networks for Few-Shot Learning AAAI 2022
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability ALT 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
Transferring Hierarchical Structures with Dual Meta Imitation Learning CORL 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play CORL 2022
Hypernetworks in Meta-Reinforcement Learning CORL 2022
Meta-Learning Priors for Safe Bayesian Optimization CORL 2022
Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning INTERSPEECH 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NIPS 2022
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NIPS 2022
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases COLING 2022
CML: A Contrastive Meta Learning Method to Estimate Human Label Confidence Scores and Reduce Data Collection Cost ACL 2022
Differentiable Architecture Search for Reinforcement Learning AUTOML 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022