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Meta-Learning

357 directly classified papers

Papers per year

Papers

Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract) AAAI 2022
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages? COLING 2022
Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022
CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation EMNLP 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer COLING 2022
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022
Finer-grained Modeling units-based Meta-Learning for Low-resource Tibetan Speech Recognition INTERSPEECH 2022
OSSEM: one-shot speaker adaptive speech enhancement using meta learning INTERSPEECH 2022
Self-Distillation with Meta Learning for Knowledge Graph Completion EMNLP 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 2022
Improved Relation Networks for End-to-End Speaker Verification and Identification INTERSPEECH 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
Short-Term Plasticity Neurons Learning to Learn and Forget ICML 2022
Few-Shot (Dis)Agreement Identification in Online Discussions with Regularized and Augmented Meta-Learning EMNLP 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself ICML 2022
Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning INTERSPEECH 2022
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning COLING 2022
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022
On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022
Dataset Distillation using Neural Feature Regression NIPS 2022
Contextual Gradient Scaling for Few-Shot Learning WACV 2022