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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 81–90 of 135 papers

Title	Date	Tasks	Status	Hype
Automatic Organization of Neural Modules for Enhanced Collaboration in Neural Networks	May 8, 2020	regressionTransductive Learning	—Unverified	0
Predicting Strategic Behavior from Free Text	Apr 6, 2020	Sentiment AnalysisTransductive Learning	CodeCode Available	0
Embedding Propagation: Smoother Manifold for Few-Shot Classification	Mar 9, 2020	ClassificationFew-Shot Image Classification	CodeCode Available	1
Geom-GCN: Geometric Graph Convolutional Networks	Feb 13, 2020	Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs	CodeCode Available	1
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification	Jan 27, 2020	Few-Shot Image ClassificationGeneral Classification	CodeCode Available	0
Node Masking: Making Graph Neural Networks Generalize and Scale Better	Jan 17, 2020	Node ClassificationTransductive Learning	—Unverified	0
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines	Dec 19, 2019	ClassificationGeneral Classification	—Unverified	0
Deep Iterative and Adaptive Learning for Graph Neural Networks	Dec 17, 2019	Graph LearningGraph structure learning	CodeCode Available	1
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning	Dec 15, 2019	ClusteringImputation	—Unverified	0
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis	Nov 1, 2019	Transductive Learning	—Unverified	0

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