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Few-Shot Learning

618 directly classified papers

Papers per year

Papers

ArtEditor: Learning Customized Instructional Image Editor from Few-Shot Examples ICCV 2025
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning CVPR 2025
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding AAAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations AAAI 2025
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context AAAI 2025
Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation AAAI 2025
Virtual CRISPR: Can LLMs Predict CRISPR Screen Results? ACL 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion AAAI 2025
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025
FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images CVPR 2025
Temporal Alignment-Free Video Matching for Few-shot Action Recognition CVPR 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning IJCAI 2025
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning AAAI 2025
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning IJCAI 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025