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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026

Task-Level Instructions Induction for Audio Question Answering from Few Examples EACL 2026

Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models AAAI 2026

ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations AAAI 2026

Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios AAAI 2026

Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026

SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition EACL 2026

ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation EACL 2026

Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026

Context-aware Graph Meta-learning AAAI 2026

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory AAAI 2026

Task-Specific Distance Correlation Matching for Few-Shot Action Recognition AAAI 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

HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments WACV 2026

Any Detector Can Detect Anything WACV 2026

Becoming Experienced Judges: Selective Test-Time Learning for Evaluators EACL 2026

Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP EACL 2026

Semantic Stars at MWE-2026 PARSEME 2.0 Subtask 2: Alternative Approaches for MWE Paraphrasing EACL 2026

Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026

SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation AAAI 2026

Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026

Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026