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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 71–80 of 135 papers

TitleStatusHype
Transductive Boltzmann Machines—0
Transductive image segmentation: Self-training and effect of uncertainty estimation—0
Transductive Learning for Abstractive News Summarization—0
Transductive Learning for Abstractive News Summarization—0
Transductive Learning for Multi-Task Copula Processes—0
Transductive Learning for Near-Duplicate Image Detection in Scanned Photo Collections—0
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models—0
Transductive Learning for Zero-Shot Object Detection—0
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis—0
Transductive Learning with Multi-class Volume Approximation—0
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