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Transductive Learning

In this setting, both a labeled training sample and an (unlabeled) test sample are provided at training time. The goal is to predict only the labels of the given test instances as accurately as possible.

Papers

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Showing 21–30 of 135 papers

TitleStatusHype
Boosting Vision-Language Models with TransductionCode2
Is Transductive Learning Equivalent to PAC Learning?—0
Label Propagation for Zero-shot Classification with Vision-Language ModelsCode1
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event DetectionCode2
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry BenchmarkingCode0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
Transductive Learning Is Compact—0
Low-Rank Graph Contrastive Learning for Node Classification—0
Transductive Active Learning: Theory and ApplicationsCode2
Active Few-Shot Fine-Tuning—0
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