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Few-Shot Learning

1,837 papers

Papers per year

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Papers

Context-aware Graph Meta-learning AAAI 2026
Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026
Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026
Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios AAAI 2026
EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026
Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations 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
Holistic Semantic Representation for Navigational Trajectory Generation AAAI 2025
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data AAAI 2025
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025
Prompt Tuning In a Compact Attribute Space AAAI 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation AAAI 2025
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context AAAI 2025
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning AAAI 2025
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling AAAI 2025
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation AAAI 2025
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation AAAI 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection AAAI 2025
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation AAAI 2025
The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation AAAI 2025
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025