Meta-Learning

A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation WACV 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 A Two Stage Adaptation Framework for Frame Detection via Prompt Learning COLING 2022 Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning Interspeech 2022 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022 Bayesian Deep Embedding Topic Meta-Learner ICML 2022 BM-NAS: Bilevel Multimodal Neural Architecture Search AAAI 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NeurIPS 2022 Bootstrapped Meta-Learning ICLR 2022 CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification CVPR 2022 Classical Sequence Match Is a Competitive Few-Shot One-Class Learner COLING 2022 CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation EMNLP 2022 Compound Domain Generalization via Meta-Knowledge Encoding CVPR 2022 Contextual Gradient Scaling for Few-Shot Learning WACV 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NeurIPS 2022 Contrastive Conditional Neural Processes CVPR 2022 Crowdsourcing with Meta-Knowledge Transfer (Student Abstract) AAAI 2022 CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations EMNLP 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022 Decoupled Pronunciation and Prosody Modeling in Meta-Learning-based Multilingual Speech Synthesis Interspeech 2022 Deep and Flexible Graph Neural Architecture Search ICML 2022 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022