conftrace_

few-shot classification

90 papers

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Also known as

FSC

Co-occurring keywords

few-shot learning (3398) representation learning (6206) metric learning (1190) image classification (1944) transfer learning (5449) domain adaptation (4595) vision-language model (2348) data augmentation (3052) knowledge distillation (3725) zero-shot learning (3650)

Papers

HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments WACV 2026
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification AAAI 2026
EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026
Enhance Vision-Language Alignment with Noise AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
Flatness Improves Backbone Generalisation in Few-Shot Classification WACV 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models EMNLP 2025
Text Augmented Correlation Transformer For Few-shot Classification & Segmentation CVPR 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025
Mixtures of In-Context Learners ACL 2025
Cap2Aug: Caption Guided Image Data Augmentation WACV 2025
PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection IJCNLP 2025
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024
Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors IJCAI 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024
Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NIPS 2024
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining EACL 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023
CORL: Compositional Representation Learning for Few-Shot Classification WACV 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics IJCAI 2023