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 51–60 of 135 papers

TitleStatusHype
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Is Transductive Learning Equivalent to PAC Learning?—0
Deep Transductive Semi-supervised Maximum Margin Clustering—0
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples—0
Anomaly Detection of Tabular Data Using LLMs—0
Active Few-Shot Fine-Tuning—0
Hypergraph Pre-training with Graph Neural Networks—0
HONEM: Learning Embedding for Higher Order Networks—0
Show:102550
← PrevPage 6 of 14Next →

No leaderboard results yet.