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Meta-Learning

357 directly classified papers

Papers per year

Papers

Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021
A large-scale benchmark for few-shot program induction and synthesis ICML 2021
Bayesian decision-making under misspecified priors with applications to meta-learning NIPS 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Learning-to-learn non-convex piecewise-Lipschitz functions NIPS 2021
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021
On Episodes, Prototypical Networks, and Few-Shot Learning NIPS 2021
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision EMNLP 2021
Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021
Domain General Face Forgery Detection by Learning to Weight AAAI 2021
Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021
Meta Label Correction for Noisy Label Learning AAAI 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021
Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021
Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks AAAI 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Learning to Learn to be Right for the Right Reasons NAACL 2021