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 1–25 of 135 papers

Title	Date	Tasks	Status	Hype	Score
Boosting Vision-Language Models with Transduction	Jun 3, 2024	Few-Shot LearningTransductive Learning	CodeCode Available	2	5
Semi-Supervised Domain Generalizable Person Re-Identification	Aug 11, 2021	Generalizable Person Re-identificationKnowledge Distillation	CodeCode Available	2	5
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection	Mar 27, 2024	Data AugmentationDomain Adaptation	CodeCode Available	2	5
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech	Aug 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	2	5
Transductive Active Learning: Theory and Applications	Feb 13, 2024	Active LearningBayesian Optimization	CodeCode Available	2	5
GraphRouter: A Graph-based Router for LLM Selections	Oct 4, 2024	Transductive Learning	CodeCode Available	2	5
Label Propagation for Zero-shot Classification with Vision-Language Models	Apr 5, 2024	ClassificationImage Classification	CodeCode Available	1	5
DINE: Domain Adaptation from Single and Multiple Black-box Predictors	Apr 4, 2021	Domain AdaptationTransductive Learning	CodeCode Available	1	5
Deep Iterative and Adaptive Learning for Graph Neural Networks	Dec 17, 2019	Graph LearningGraph structure learning	CodeCode Available	1	5
Geom-GCN: Geometric Graph Convolutional Networks	Feb 13, 2020	Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs	CodeCode Available	1	5
Joint Inductive and Transductive Learning for Video Object Segmentation	Aug 8, 2021	Inductive LearningObject	CodeCode Available	1	5
Transductive Active Learning with Application to Safe Bayesian Optimization	Jul 12, 2024	Active LearningBayesian Optimization	CodeCode Available	1	5
Transductive Learning for Unsupervised Text Style Transfer	Sep 16, 2021	DecoderInductive Learning	CodeCode Available	1	5
Few-shot bioacoustic event detection at the DCASE 2022 challenge	Jul 14, 2022	Event DetectionSound Event Detection	CodeCode Available	1	5
HGATE: Heterogeneous Graph Attention Auto-Encoders	Nov 28, 2021	Graph AttentionGraph Representation Learning	CodeCode Available	1	5
Embedding Propagation: Smoother Manifold for Few-Shot Classification	Mar 9, 2020	ClassificationFew-Shot Image Classification	CodeCode Available	1	5
Sparsity-aware neural user behavior modeling in online interaction platforms	Feb 28, 2022	Inductive LearningRepresentation Learning	CodeCode Available	1	5
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks	Jun 15, 2020	Learning TheoryTransductive Learning	CodeCode Available	1	5
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes	Mar 17, 2022	Node ClassificationSelf-Supervised Learning	CodeCode Available	1	5
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement	Mar 12, 2025	Graph Representation LearningNode Classification	CodeCode Available	1	5
BertGCN: Transductive Text Classification by Combining GCN and BERT	May 12, 2021	Classificationtext-classification	CodeCode Available	1	5
Label Propagation for Deep Semi-supervised Learning	Apr 9, 2019	Transductive Learning	CodeCode Available	0	5
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning	Jan 13, 2022	Active Learningcontinual few-shot learning	CodeCode Available	0	5
Identifying Key Sentences for Precision Oncology Using Semi-Supervised Learning	Jul 1, 2018	ArticlesBIG-bench Machine Learning	CodeCode Available	0	5
Learning to learn via Self-Critique	May 24, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	0	5

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