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Meta-Learning

722 directly classified papers

Papers per year

Papers

BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification EMNLP 2023
Multi-Domain Generalized Graph Meta Learning AAAI 2023
Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition ACL 2023
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions ICML 2023
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023
Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
Learning to Generalize Provably in Learning to Optimize AISTATS 2023
Meta-Learning with Adjoint Methods AISTATS 2023
Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023