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Meta-Learning

722 directly classified papers

Papers per year

Papers

On Data Efficiency of Meta-learning AISTATS 2021
Meta Batch-Instance Normalization for Generalizable Person Re-Identification CVPR 2021
Homogeneous Architecture Augmentation for Neural Predictor ICCV 2021
BN-NAS: Neural Architecture Search With Batch Normalization ICCV 2021
GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization NIPS 2021
Meta-learning to Improve Pre-training NIPS 2021
Memory Efficient Meta-Learning with Large Images NIPS 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Effective Meta-Regularization by Kernelized Proximal Regularization NIPS 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NIPS 2021
Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples INTERSPEECH 2021
Improved Meta-Learning Training for Speaker Verification INTERSPEECH 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
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift ICCV 2021
On sensitivity of meta-learning to support data NIPS 2021
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021