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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation CVPR 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency COLING 2024
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction ACL 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024
S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning COLING 2024
LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024
A Prompting Assignment for Exploring Pretrained LLMs ACL 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NIPS 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024
Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning WACV 2024
Data-Efficient Graph Learning AAAI 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024