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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

Title	Date	Tasks	Status	Hype	Score
Transductive Learning for Unsupervised Text Style Transfer	Sep 16, 2021	DecoderInductive Learning	CodeCode Available	1	5
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification	Jan 27, 2020	Few-Shot Image ClassificationGeneral Classification	CodeCode Available	0	5
On Label-Eﬀicient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers	Oct 19, 2021	Active LearningContinual Learning	CodeCode Available	0	5
Predicting Strategic Behavior from Free Text	Apr 6, 2020	Sentiment AnalysisTransductive Learning	CodeCode Available	0	5
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning	Jan 13, 2022	Active Learningcontinual few-shot learning	CodeCode Available	0	5
Distributed representations of graphs for drug pair scoring	Sep 19, 2022	Transductive Learning	CodeCode Available	0	5
Learning to learn via Self-Critique	May 24, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	0	5
Label Propagation for Deep Semi-supervised Learning	Apr 9, 2019	Transductive Learning	CodeCode Available	0	5
Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse	Nov 20, 2024	Transductive Learning	CodeCode Available	0	5
Identifying Key Sentences for Precision Oncology Using Semi-Supervised Learning	Jul 1, 2018	ArticlesBIG-bench Machine Learning	CodeCode Available	0	5

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