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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 51–75 of 135 papers

TitleStatusHype
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning—0
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning—0
Regularization and Optimal Multiclass Learning—0
Relax and Randomize : From Value to Algorithms—0
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives—0
Robust Collective Classification against Structural Attacks—0
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines—0
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization—0
Selective Transfer Machine for Personalized Facial Action Unit Detection—0
Self-Training: A Survey—0
Semi-Supervised Prediction of Gene Regulatory Networks Using Machine Learning Algorithms—0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates—0
Smoothed Analysis of Sequential Probability Assignment—0
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time—0
The Benefits and Risks of Transductive Approaches for AI Fairness—0
Towards Adversarial Robustness via Transductive Learning—0
Towards Understanding the Generalization of Graph Neural Networks—0
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
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