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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models CVPR 2023
Cultural Concept Adaptation on Multimodal Reasoning EMNLP 2023
SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders CVPR 2023
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners CVPR 2023
A Strong Baseline for Generalized Few-Shot Semantic Segmentation CVPR 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages EMNLP 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought EMNLP 2023
FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 EMNLP 2023
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting EMNLP 2023
Frugal Prompting for Dialog Models EMNLP 2023
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models CVPR 2023
Word-level Prefix/Suffix Sense Detection: A Case Study on Negation Sense with Few-shot Learning ACL 2023
LAVA: Label-Efficient Visual Learning and Adaptation WACV 2023
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator CVPR 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning ACL 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes NIPS 2023
Universal Prompt Tuning for Graph Neural Networks NIPS 2023
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering ACL 2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer ACL 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NIPS 2023
Linguistic representations for fewer-shot relation extraction across domains ACL 2023
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023