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Meta-Learning

722 directly classified papers

Papers per year

Papers

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation CVPR 2021
Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021
Data Augmentation for Meta-Learning ICML 2021
Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021
MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation CVPR 2021
Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021
Learning to Generate Noise for Multi-Attack Robustness ICML 2021
Statistically and Computationally Efficient Linear Meta-representation Learning NIPS 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NIPS 2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NIPS 2021
Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
A large-scale benchmark for few-shot program induction and synthesis ICML 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021