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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

In-context Learning and Gradient Descent Revisited NAACL 2024
C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NIPS 2024
TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024
Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL EMNLP 2024
A Survey of Data-Efficient Graph Learning IJCAI 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification NAACL 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs? EMNLP 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction CVPR 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024
Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction EMNLP 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification WACV 2024
In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection AISTATS 2024