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

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Showing 1–50 of 135 papers

TitleStatusHype
Boosting Vision-Language Models with TransductionCode2
wav2graph: A Framework for Supervised Learning Knowledge Graph from SpeechCode2
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event DetectionCode2
Transductive Active Learning: Theory and ApplicationsCode2
GraphRouter: A Graph-based Router for LLM SelectionsCode2
Semi-Supervised Domain Generalizable Person Re-IdentificationCode2
Embedding Propagation: Smoother Manifold for Few-Shot ClassificationCode1
DINE: Domain Adaptation from Single and Multiple Black-box PredictorsCode1
View-Consistent Heterogeneous Network on Graphs With Few Labeled NodesCode1
Geom-GCN: Geometric Graph Convolutional NetworksCode1
Joint Inductive and Transductive Learning for Video Object SegmentationCode1
Label Propagation for Zero-shot Classification with Vision-Language ModelsCode1
BertGCN: Transductive Text Classification by Combining GCN and BERTCode1
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a MeasurementCode1
Few-shot bioacoustic event detection at the DCASE 2022 challengeCode1
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
Transductive Learning for Unsupervised Text Style TransferCode1
Deep Iterative and Adaptive Learning for Graph Neural NetworksCode1
Transductive Active Learning with Application to Safe Bayesian OptimizationCode1
Sparsity-aware neural user behavior modeling in online interaction platformsCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification—0
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning—0
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents—0
Anomaly Detection of Tabular Data Using LLMs—0
Active Few-Shot Fine-Tuning—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process—0
Deep Transductive Semi-supervised Maximum Margin Clustering—0
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples—0
Transductive Learning Is Compact—0
Deep Domain Adaptation under Deep Label Scarcity—0
HONEM: Learning Embedding for Higher Order Networks—0
DC Proximal Newton for Non-Convex Optimization Problems—0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side—0
Automatic Organization of Neural Modules for Enhanced Collaboration in Neural Networks—0
An Iterative Co-Training Transductive Framework for Zero Shot Learning—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
Generate, Transduct, Adapt: Iterative Transduction with VLMs—0
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks—0
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph—0
Cross-Graph Learning of Multi-Relational Associations—0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Hypergraph Pre-training with Graph Neural Networks—0
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning—0
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer—0
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