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Meta-Learning

722 directly classified papers

Papers per year

Papers

Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Meta Distribution Alignment for Generalizable Person Re-Identification CVPR 2022
What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning CVPR 2022
A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting CVPR 2022
Compound Domain Generalization via Meta-Knowledge Encoding CVPR 2022
Enhanced Bilevel Optimization via Bregman Distance NIPS 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts NIPS 2022
You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation AAAI 2022
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021
Learning a Universal Template for Few-shot Dataset Generalization ICML 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification CVPR 2021
Knowledge-Adaptation Priors NIPS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ICML 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021