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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Graph Meta Learning via Local Subgraphs NIPS 2020
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification NIPS 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Meta-Learning Requires Meta-Augmentation NIPS 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution CVPR 2020
An Investigation of Few-Shot Learning in Spoken Term Classification INTERSPEECH 2020
Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP 2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment EMNLP 2020
Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP 2020
Learning to Forget for Meta-Learning CVPR 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs NIPS 2020
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network IJCAI 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020
On Efficiency in Hierarchical Reinforcement Learning NIPS 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
Model-based Adversarial Meta-Reinforcement Learning NIPS 2020
Modeling and Optimization Trade-off in Meta-learning NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NIPS 2020