← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Meta-Learning

1524 directly classified papers

Papers per year

Papers

Provably Faster Algorithms for Bilevel Optimization NIPS 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NIPS 2021
Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021
How to transfer algorithmic reasoning knowledge to learn new algorithms? NIPS 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization NIPS 2021
Multi-Objective Meta Learning NIPS 2021
Iterative Teaching by Label Synthesis NIPS 2021
Memory Efficient Meta-Learning with Large Images NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Effective Meta-Regularization by Kernelized Proximal Regularization NIPS 2021
Bayesian decision-making under misspecified priors with applications to meta-learning NIPS 2021
No Regrets for Learning the Prior in Bandits NIPS 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NIPS 2021
Uniform Sampling over Episode Difficulty NIPS 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NIPS 2021
Towards Enabling Meta-Learning from Target Models NIPS 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms NIPS 2021
Pure Exploration in Kernel and Neural Bandits NIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021
Posterior Meta-Replay for Continual Learning NIPS 2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NIPS 2021
Graph Differentiable Architecture Search with Structure Learning NIPS 2021
Statistically and Computationally Efficient Linear Meta-representation Learning NIPS 2021
Meta-learning to Improve Pre-training NIPS 2021