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Few-Shot Learning

2,681 papers

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Papers

Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024 Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation WACV 2024 Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains EMNLP 2024 Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach EMNLP 2024 Learning to Learn Better Visual Prompts AAAI 2024 LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024 Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval NAACL 2024 Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations ACL 2024 Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NeurIPS 2024 LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English EMNLP 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation NeurIPS 2024 LILO: Learning Interpretable Libraries by Compressing and Documenting Code ICLR 2024 Limits of Transformer Language Models on Learning to Compose Algorithms NeurIPS 2024 Link-Context Learning for Multimodal LLMs CVPR 2024 LIVE: Learnable In-Context Vector for Visual Question Answering NeurIPS 2024 LLaMA-Based Models for Aspect-Based Sentiment Analysis ACL 2024 LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024 LLMs Are Few-Shot In-Context Low-Resource Language Learners NAACL 2024 LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024 LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024 Locally Differentially Private In-Context Learning COLING 2024 Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ACL 2024