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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 51–60 of 135 papers

TitleStatusHype
Inductive Two-Layer Modeling with Parametric Bregman Transfer—0
Cross-Graph Learning of Multi-Relational Associations—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Is Transductive Learning Equivalent to PAC Learning?—0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer—0
Transductive Learning Is Compact—0
A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction—0
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