Meta-Learning

Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Meta-Task Prompting Elicits Embeddings from Large Language Models ACL 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024 Neural Active Learning Beyond Bandits ICLR 2024 Neural processes with event triggers for fast adaptation to changes L4DC 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 OMNI: Open-endedness via Models of human Notions of Interestingness ICLR 2024 Online Adaptation of Language Models with a Memory of Amortized Contexts NeurIPS 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization NAACL 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 Operator World Models for Reinforcement Learning NeurIPS 2024 PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024 PeFLL: Personalized Federated Learning by Learning to Learn ICLR 2024 Personalized LoRA for Human-Centered Text Understanding AAAI 2024 PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos CVPR 2024 Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ICLR 2024 POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation ACL 2024