SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–135 of 135 papers

TitleStatusHype
Inductive Two-Layer Modeling with Parametric Bregman Transfer—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Is Transductive Learning Equivalent to PAC Learning?—0
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning—0
Transductive Learning Is Compact—0
Learning Graph Neural Networks with Positive and Unlabeled Nodes—0
Localized Complexities for Transductive Learning—0
Low-Rank Graph Contrastive Learning for Node Classification—0
Machine Translation Model based on Non-parallel Corpus and Semi-supervised Transductive Learning—0
G^2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns—0
Show:102550
← PrevPage 6 of 6Next →

No leaderboard results yet.