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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 31–40 of 135 papers

Title	Date	Tasks	Status	Score
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations	Sep 12, 2019	Pseudo LabelTransductive Learning	CodeCode Available	5
Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse	Nov 20, 2024	Transductive Learning	CodeCode Available	5
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness	Dec 12, 2024	Contrastive LearningSemantic Similarity	CodeCode Available	5
Label Propagation for Deep Semi-supervised Learning	Apr 9, 2019	Transductive Learning	CodeCode Available	5
Identifying Key Sentences for Precision Oncology Using Semi-Supervised Learning	Jul 1, 2018	ArticlesBIG-bench Machine Learning	CodeCode Available	5
Learning to learn via Self-Critique	May 24, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	5
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking	Feb 28, 2024	BenchmarkingInductive Learning	CodeCode Available	5
Few-shot Novel Category Discovery	May 13, 2025	ClusteringFew-Shot Learning	CodeCode Available	5
Fast Few-Shot Classification by Few-Iteration Meta-Learning	Oct 1, 2020	ClassificationGeneral Classification	CodeCode Available	5
Accurate and Scalable Graph Neural Networks via Message Invariance	Feb 27, 2025	GPUTransductive Learning	CodeCode Available	5

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