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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games
EMNLP 2025
On LLM-Based Scientific Inductive Reasoning Beyond Equations
EMNLP 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
AAAI 2025
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
AAAI 2025
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
AAAI 2025
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
EMNLP 2025
TORSO: Template-Oriented Reasoning Towards General Tasks
EMNLP 2025
LVLMs are Bad at Overhearing Human Referential Communication
EMNLP 2025
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
ICCV 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
ICCV 2025
Visual Textualization for Image Prompted Object Detection
ICCV 2025
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
ICCV 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Video-Bench: Human-Aligned Video Generation Benchmark
CVPR 2025
Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning
ICCV 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
EMNLP 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
EMNLP 2025
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
CVPR 2025
Surprise Calibration for Better In-Context Learning
EMNLP 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
AAAI 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
AAAI 2025
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments
AAAI 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Few-shot Personalized Scanpath Prediction
CVPR 2025
Enhancing Close-up Novel View Synthesis via Pseudo-labeling
AAAI 2025
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