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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 101–135 of 135 papers

TitleStatusHype
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting—0
Deep Domain Adaptation under Deep Label Scarcity—0
Transductive Semi-Supervised Deep Learning using Min-Max Features—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
Identifying Key Sentences for Precision Oncology Using Semi-Supervised LearningCode0
Inductive Two-Layer Modeling with Parametric Bregman Transfer—0
Transductive Boltzmann Machines—0
Transductive Unbiased Embedding for Zero-Shot Learning—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Transductive Non-linear Learning for Chinese Hypernym Prediction—0
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification—0
Transductive Zero-Shot Learning with a Self-training dictionary approach—0
Without-Replacement Sampling for Stochastic Gradient Methods—0
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization—0
Semi-Supervised Prediction of Gene Regulatory Networks Using Machine Learning Algorithms—0
Cross-Graph Learning of Multi-Relational Associations—0
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization—0
Minimax Lower Bounds for Realizable Transductive Classification—0
Unsupervised Tube Extraction Using Transductive Learning and Dense TrajectoriesCode0
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning—0
DC Proximal Newton for Non-Convex Optimization Problems—0
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning—0
Transductive Multi-label Zero-shot Learning—0
Transductive Multi-class and Multi-label Zero-shot Learning—0
Deep Transductive Semi-supervised Maximum Margin Clustering—0
Localized Complexities for Transductive Learning—0
Transductive Learning for Multi-Task Copula Processes—0
Machine Translation Model based on Non-parallel Corpus and Semi-supervised Transductive Learning—0
Transductive Learning with Multi-class Volume Approximation—0
Transductive Rademacher Complexity and its Applications—0
Selective Transfer Machine for Personalized Facial Action Unit Detection—0
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation—0
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents—0
Relax and Randomize : From Value to Algorithms—0
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification—0
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