Meta-Learning

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks NeurIPS 2022 MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning EMNLP 2022 Meta Value Learning for Fast Policy-Centric Optimal Motion Planning RSS 2022 Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation ACL 2022 Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality AACL 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022 Model Zoo: A Growing Brain That Learns Continually ICLR 2022 Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting CoRL 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022 Neural Contextual Bandits without Regret AISTATS 2022 Neural ensemble search via Bayesian sampling UAI 2022 Neural Processes with Stochastic Attention: Paying more attention to the context dataset ICLR 2022 Neural Variational Dropout Processes ICLR 2022 Non-stationary Bandits with Knapsacks NeurIPS 2022 Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022 On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022 Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022 On Measuring the Intrinsic Few-Shot Hardness of Datasets EMNLP 2022 On provably robust meta-Bayesian optimization UAI 2022 On the Convergence Theory for Hessian-Free Bilevel Algorithms NeurIPS 2022 On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NeurIPS 2022 On the Generalizability and Predictability of Recommender Systems NeurIPS 2022