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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 1–50 of 135 papers

TitleStatusHype
A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction—0
Few-shot Novel Category DiscoveryCode0
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a MeasurementCode1
Accurate and Scalable Graph Neural Networks via Message InvarianceCode0
Generate, Transduct, Adapt: Iterative Transduction with VLMs—0
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
GraphRouter: A Graph-based Router for LLM SelectionsCode2
VLSI Hypergraph Partitioning with Deep Learning—0
wav2graph: A Framework for Supervised Learning Knowledge Graph from SpeechCode2
Transductive Active Learning with Application to Safe Bayesian OptimizationCode1
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
Boosting Vision-Language Models with TransductionCode2
Is Transductive Learning Equivalent to PAC Learning?—0
Label Propagation for Zero-shot Classification with Vision-Language ModelsCode1
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event DetectionCode2
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
Transductive Active Learning: Theory and ApplicationsCode2
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
Fast Online Node Labeling for Very Large GraphsCode0
Estimating class separability of text embeddings with persistent homology—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Towards Understanding the Generalization of Graph Neural Networks—0
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
Smoothed Analysis of Sequential Probability Assignment—0
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates—0
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process—0
Distributed representations of graphs for drug pair scoringCode0
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning—0
Few-shot bioacoustic event detection at the DCASE 2022 challengeCode1
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling—0
Understanding Generalization via Leave-One-Out Conditional Mutual Information—0
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