Meta-Learning

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Towards Human-like Learning from Relational Structured Data AAAI 2024 Towards safe multi-task Bayesian optimization L4DC 2024 Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024 Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024 Transductive Active Learning: Theory and Applications NeurIPS 2024 Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment COLING 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations NAACL 2024 UQ-Guided Hyperparameter Optimization for Iterative Learners NeurIPS 2024 Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NeurIPS 2024 WavLLM: Towards Robust and Adaptive Speech Large Language Model EMNLP 2024 What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024 When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024 Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP 2024 XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner IJCAI 2024 XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification ACL 2024 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023