Meta-Learning

Hierarchical Variational Memory for Few-shot Learning Across Domains ICLR 2022 Hindsight Foresight Relabeling for Meta-Reinforcement Learning ICLR 2022 How to Distribute Data across Tasks for Meta-Learning? AAAI 2022 HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification EMNLP 2022 Hybrid Graph Neural Networks for Few-Shot Learning AAAI 2022 Hyperdecoders: Instance-specific decoders for multi-task NLP EMNLP 2022 HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning ICLR 2022 Hypernetworks in Meta-Reinforcement Learning CoRL 2022 IALE: Imitating Active Learner Ensembles JMLR 2022 iFS-RCNN: An Incremental Few-Shot Instance Segmenter CVPR 2022 Imitation Learning by Estimating Expertise of Demonstrators ICML 2022 Implicit kernel meta-learning using kernel integral forms UAI 2022 Improving Both Domain Robustness and Domain Adaptability in Machine Translation COLING 2022 Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity IJCAI 2022 Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model Compression COLING 2022 Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features ACL 2022 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 Learning-Augmented Algorithms for Online Linear and Semidefinite Programming NeurIPS 2022