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Few-Shot Learning

1,840 papers

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Papers

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026 Any Detector Can Detect Anything WACV 2026 ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations AAAI 2026 ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs EACL 2026 Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation CVPR 2026 Becoming Experienced Judges: Selective Test-Time Learning for Evaluators EACL 2026 Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation AAAI 2026 Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory AAAI 2026 Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026 Context-aware Graph Meta-learning AAAI 2026 DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026 Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026 EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026 From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026 Generalized-Scale Object Counting with Gradual Query Aggregation AAAI 2026 HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments WACV 2026 Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026 Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026 Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula ACL 2026 MTA:A Merge-then-Adapt Framework for Personalized Large Language Models ACL 2026 NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning WACV 2026 Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation WACV 2026 Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios AAAI 2026 Pointing at Parts: Training-Free Few-Shot Grounding in Multimodal LLMs CVPR 2026