Meta-Learning

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NeurIPS 2023 Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023 Robustness of Learning from Task Instructions ACL 2023 Sample-efficient Multi-objective Molecular Optimization with GFlowNets NeurIPS 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models NeurIPS 2023 Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023 Semantic matching for text classification with complex class descriptions EMNLP 2023 Semi-Parametric Inducing Point Networks and Neural Processes ICLR 2023 Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data MLHC 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search ICML 2023 SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NeurIPS 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023 Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023 Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023 SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023 Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking EACL 2023 Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023 Structured State Space Models for In-Context Reinforcement Learning NeurIPS 2023 STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables ICLR 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion EMNLP 2023