Meta-Learning

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 Practice Makes Perfect: Planning to Learning Skill Parameter Policies RSS 2024 Prompt Engineering a Prompt Engineer ACL 2024 Prompt Learning via Meta-Regularization CVPR 2024 Protein Multimer Structure Prediction via Prompt Learning ICLR 2024 Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds L4DC 2024 Provably Efficient CVaR RL in Low-rank MDPs ICLR 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 Recall-Oriented Continual Learning with Generative Adversarial Meta-Model AAAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Reinforcement Symbolic Regression Machine ICLR 2024 Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach IJCAI 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data ICLR 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes NeurIPS 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Scale Equivariant Graph Metanetworks NeurIPS 2024 Score Models for Offline Goal-Conditioned Reinforcement Learning ICLR 2024