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Meta-Learning

973 papers

Papers per year

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Papers

Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021
AutoBandit: A Meta Bandit Online Learning System IJCAI 2021
Multi-accent Speech Separation with One Shot Learning IJCNLP 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Improved Meta-Learning Training for Speaker Verification INTERSPEECH 2021
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples INTERSPEECH 2021
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Learning to Learn to be Right for the Right Reasons NAACL 2021
Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution WACV 2021
A Closer Look at the Training Strategy for Modern Meta-Learning NIPS 2020
Discovering Reinforcement Learning Algorithms NIPS 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
Meta-Neighborhoods NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Bootstrapping neural processes NIPS 2020
Online Structured Meta-learning NIPS 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NIPS 2020
Neural Complexity Measures NIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020