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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 26–50 of 135 papers

TitleStatusHype
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks—0
Single-View Graph Contrastive Learning with Soft Neighborhood AwarenessCode0
Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media DiscourseCode0
A Theory for Compressibility of Graph Transformers for Transductive Learning—0
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language ModelsCode0
Transductive Learning for Near-Duplicate Image Detection in Scanned Photo Collections—0
VLSI Hypergraph Partitioning with Deep Learning—0
Structure-Aware Consensus Network on Graphs with Few Labeled NodesCode0
Anomaly Detection of Tabular Data Using LLMs—0
Bayesian Circular Regression with von Mises Quasi-Processes—0
The Benefits and Risks of Transductive Approaches for AI Fairness—0
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks—0
Is Transductive Learning Equivalent to PAC Learning?—0
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry BenchmarkingCode0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
Transductive Learning Is Compact—0
Low-Rank Graph Contrastive Learning for Node Classification—0
Active Few-Shot Fine-Tuning—0
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer—0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models—0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Regularization and Optimal Multiclass Learning—0
G^2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns—0
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