few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Problematic Webpage Identification: A Trilogy of Hatespeech, Search Engines and GPT ACL 2023

Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition ACL 2023

Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers ACL 2023

Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization ACL 2023

LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting ACL 2023

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection EMNLP 2023

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023

LLM4Vis: Explainable Visualization Recommendation using ChatGPT EMNLP 2023

MEAL: Stable and Active Learning for Few-Shot Prompting EMNLP 2023

When Do Decompositions Help for Machine Reading? EMNLP 2023

Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023

Ecologically Valid Explanations for Label Variation in NLI EMNLP 2023

Legally Enforceable Hate Speech Detection for Public Forums EMNLP 2023

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition EMNLP 2023

Conditioning on Dialog Acts improves Empathy Style Transfer EMNLP 2023

Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023

Coverage-based Example Selection for In-Context Learning EMNLP 2023

In-Context Learning for Text Classification with Many Labels EMNLP 2023

Task Residual for Tuning Vision-Language Models CVPR 2023

MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition CVPR 2023

Diversity-Aware Meta Visual Prompting CVPR 2023

Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023

Train-Once-for-All Personalization CVPR 2023

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023