few-shot learning

DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning AAAI 2026 Data-Centric Meta-Learning for Robust Few-Shot Generalization CVPR 2026 DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026 DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026 Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection CVPR 2026 Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026 Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation AAAI 2026 Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 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 Dual-Geometry Graph Network: Unifying Local and Global Priors for Few-Shot Learning AAAI 2026 Dual-level Adapter Boosting Prompt-free Curvilinear Structure Segmentation CVPR 2026 EchoMimicV3: 1.3B Parameters Are All You Need for Unified Multi-Modal and Multi-Task Human Animation AAAI 2026 EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks AAAI 2026 EmoTaG: Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot Personalization CVPR 2026 Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation AAAI 2026 Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling CVPR 2026 EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance AAAI 2026 Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration UAI 2026 Few-shot Acoustic Synthesis with Multimodal Flow Matching CVPR 2026 Few-Shot Hybrid Incremental Learning:Continually Learning under Data Scarcity and Task Uncertainty CVPR 2026 Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation AAAI 2026 FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures CVPR 2026