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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
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Few-Shot Event Classification in Images Using Knowledge Graphs for Prompting
WACV 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
SEMEVAL 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning
SEMEVAL 2024
MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech
EMNLP 2024
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
NIPS 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
EMNLP 2024
FtG-CoT at SemEval-2024 Task 9: Solving Sentence Puzzles Using Fine-Tuned Language Models and Zero-Shot CoT Prompting
SEMEVAL 2024
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
EMNLP 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
AISTATS 2024
Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation
WACV 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NIPS 2024
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
IJCAI 2024
Is Programming by Example Solved by LLMs?
NIPS 2024
LeRet: Language-Empowered Retentive Network for Time Series Forecasting
IJCAI 2024
Pixel Matching Network for Cross-Domain Few-Shot Segmentation
WACV 2024
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning
IJCAI 2024
Hybrid Mamba for Few-Shot Segmentation
NIPS 2024
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition
WACV 2024
ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains
IJCAI 2024
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies
IJCAI 2024
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
EMNLP 2024
Code Models are Zero-shot Precondition Reasoners
NAACL 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
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