few-shot learning

Learning More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization AAAI 2026 Learning to Animate Images from A Few Videos to Portray Delicate Human Actions WACV 2026 Learning to Learn Weight Generation via Local Consistency Diffusion CVPR 2026 Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection AAAI 2026 MatchMask: Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation CVPR 2026 MBTI: Metric-Based Textual Inversion for Fine-Grained Image Generation WACV 2026 MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification AAAI 2026 MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions UAI 2026 Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning CVPR 2026 Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection AAAI 2026 Multimodal Medical Image Binding via Shared Text Embeddings WACV 2026 MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification CVPR 2026 NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026 Neural Mixture Density Processes CVPR 2026 NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning WACV 2026 Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment CVPR 2026 O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model AAAI 2026 ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations WACV 2026 OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation AAAI 2026 One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control CVPR 2026 OntoAug: Rethinking Generative Data Augmentation via Ontology Guidance CVPR 2026