Few-Shot Learning
2,681 papers
Papers per year
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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