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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners CVPR 2024
LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study COLING 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024
HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images CVPR 2024
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks EACL 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024
Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models EACL 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NIPS 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NIPS 2024
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024
Data-Efficient Graph Learning AAAI 2024
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024