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Meta-Learning

1,038 papers

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Papers

Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025 FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 First-Order Federated Bilevel Learning AAAI 2025 Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025 HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025 HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025 Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025 HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks CVPR 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025 Inefficiencies of Meta Agents for Agent Design EMNLP 2025 Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025 Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy ICCV 2025 JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025 Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025 Learning on the Go: A Meta-learning Object Navigation Model ICCV 2025 Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection AAAI 2025