few-shot adaptation

PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning CVPR 2026 Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026 SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation ACL 2026 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025 ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models CoRL 2025 Learning to Move with Style: Few-Shot Cross-Modal Style Transfer for Creative Robot Motion Generation NeurIPS 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025 Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages CVPR 2025 Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation ICCV 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025 Transformer Learns Optimal Variable Selection in Group-Sparse Classification ICLR 2025 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024 AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation RSS 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning ICML 2024 Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models CVPR 2024 Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning ICML 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 LaViP: Language-Grounded Visual Prompting AAAI 2024 Learning to Defer to a Population: A Meta-Learning Approach AISTATS 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation ICML 2024 Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation CoRL 2024 Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning NAACL 2024