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Meta-Learning

218 directly classified papers

Papers per year

Papers

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025
HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks CVPR 2025
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer WACV 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025
Task-Specific Gradient Adaptation for Few-Shot One-Class Classification CVPR 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection EMNLP 2025
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World CVPR 2024
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
Discovering plasticity rules that organize and maintain neural circuits NIPS 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NIPS 2024
Learning to Learn Better Visual Prompts AAAI 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024