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Meta-Learning

1,529 papers

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Papers

Exploiting Domain-Specific Features to Enhance Domain Generalization NIPS 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning NIPS 2021
Multi-Objective Meta Learning NIPS 2021
Iterative Teaching by Label Synthesis NIPS 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization NIPS 2021
Meta-learning to Improve Pre-training NIPS 2021
Memory Efficient Meta-Learning with Large Images NIPS 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NIPS 2021
Effective Meta-Regularization by Kernelized Proximal Regularization NIPS 2021
Bayesian decision-making under misspecified priors with applications to meta-learning NIPS 2021
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media NIPS 2021
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NIPS 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NIPS 2021
No Regrets for Learning the Prior in Bandits NIPS 2021
Few-Round Learning for Federated Learning NIPS 2021
Parameter Prediction for Unseen Deep Architectures NIPS 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NIPS 2021
Discovery of Options via Meta-Learned Subgoals NIPS 2021
Continual Learning via Local Module Composition NIPS 2021
Meta-Learning for Relative Density-Ratio Estimation NIPS 2021
Fast and Efficient Locomotion via Learned Gait Transitions CORL 2021