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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction NAACL 2024
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024
Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction NAACL 2024
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints NAACL 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction NAACL 2024
Prompting towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot COLING 2024
Task-Disruptive Background Suppression for Few-Shot Segmentation AAAI 2024
Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024
PointPatchMix: Point Cloud Mixing with Patch Scoring AAAI 2024
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis CVPR 2024
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? NAACL 2024
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NIPS 2024
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure NAACL 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024
Intervention extraction in preclinical animal studies of Alzheimer’s Disease: Enhancing regex performance with language model-based filtering ACL 2024
Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes NAACL 2024
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024