Meta-Learning
1,038 papers
Papers per year
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1
4
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3
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1
4
10
37
75
127
168
183
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143
99
18
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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