Meta-Learning

Giving Feedback on Interactive Student Programs with Meta-Exploration NeurIPS 2022 Gradient Descent: The Ultimate Optimizer NeurIPS 2022 Graph Few-shot Learning with Task-specific Structures NeurIPS 2022 HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022 Hierarchical Bayesian Bandits AISTATS 2022 HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning WACV 2022 How to Train Your MAML to Excel in Few-Shot Classification ICLR 2022 HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning ICML 2022 Improved Relation Networks for End-to-End Speaker Verification and Identification Interspeech 2022 Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer COLING 2022 Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Language Acquisition through Intention Reading and Pattern Finding COLING 2022 LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022 Learning and Exploiting Progress States in Greedy Best-First Search IJCAI 2022 Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NeurIPS 2022 Learning meta-features for AutoML ICLR 2022 Learning Not to Learn: Nature versus Nurture In Silico AAAI 2022 Learning Prototype-oriented Set Representations for Meta-Learning ICLR 2022 Learning Tensor Representations for Meta-Learning AISTATS 2022 Learning to Adapt to Low-Resource Paraphrase Generation EMNLP 2022