Transductive Learning

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Most implemented papers archive 2025-07-28

30 shown of 41 papers with code (135 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Geom-GCN: Geometric Graph Convolutional Networks
  13 Feb 2020 4 repositories listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  From the observations on classical neural network and network geometry, we propose a novel geometric aggregation scheme for graph neural networks to overcome the two weaknesses.
• Semi-Supervised Domain Generalizable Person Re-Identification
  11 Aug 2021 3 repositories listed Syntology ran 6 of 7 samples · 1 unverified
  Instead, we aim to explore multiple labeled datasets to learn generalized domain-invariant representations for person re-id, which is expected universally effective for each new-coming re-id scenario.
• DINE: Domain Adaptation from Single and Multiple Black-box Predictors
  4 Apr 2021 3 repositories listed Syntology ran 10 of 13 samples · 3 unverified
  To ease the burden of labeling, unsupervised domain adaptation (UDA) aims to transfer knowledge in previous and related labeled datasets (sources) to a new unlabeled dataset (target).
• Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
  27 Mar 2024 2 repositories listed
  A recent development in the field is the introduction of the task known as few-shot bioacoustic sound event detection, which aims to train a versatile animal sound detector using only a small set of audio samples.
• Transductive Active Learning: Theory and Applications
  13 Feb 2024 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  We study a generalization of classical active learning to real-world settings with concrete prediction targets where sampling is restricted to an accessible region of the domain, while prediction targets may lie outside…
• Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
  13 Jan 2022 2 repositories listed
  The first method, Simple CNAPS, employs a hierarchically regularized Mahalanobis-distance based classifier combined with a state of the art neural adaptive feature extractor to achieve strong performance on…
• On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers
  19 Oct 2021 2 repositories listed
  The first method, Simple CNAPS, employs a hierarchically regularized Mahalanobis-distance based classifier combined with a state of the art neural adaptive feature extractor to achieve strong performance on…
• Few-shot Novel Category Discovery
  13 May 2025 1 repository listed
  The recently proposed Novel Category Discovery (NCD) adapt paradigm of transductive learning hinders its application in more real-world scenarios.
• Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
  12 Mar 2025 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Long-range dependencies are critical for effective graph representation learning, yet most existing datasets focus on small graphs tailored to inductive tasks, offering limited insight into long-range interactions.
• Accurate and Scalable Graph Neural Networks via Message Invariance
  27 Feb 2025 1 repository listed
  Message passing-based graph neural networks (GNNs) have achieved great success in many real-world applications.
• Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
  12 Dec 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Most graph contrastive learning (GCL) methods heavily rely on cross-view contrast, thus facing several concomitant challenges, such as the complexity of designing effective augmentations, the potential for information…
• Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse
  20 Nov 2024 1 repository listed
  We experimented with our model on a benchmark social media dataset for minority stress detection (LGBTQ+ MiSSoM+).
• UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
  11 Nov 2024 1 repository listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  Under this unsupervised multi-domain setting, we have identified inherent model bias within CLIP, notably in its visual and text encoders.
• GraphRouter: A Graph-based Router for LLM Selections
  4 Oct 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  The rapidly growing number and variety of Large Language Models (LLMs) present significant challenges in efficiently selecting the appropriate LLM for a given query, especially considering the trade-offs between…
• wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
  8 Aug 2024 1 repository listed
  Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-awareness.
• Transductive Active Learning with Application to Safe Bayesian Optimization
  12 Jul 2024 1 repository listed
  We analyze Safe BO under the lens of a generalization of active learning with concrete prediction targets where sampling is restricted to an accessible region of the domain, while prediction targets may lie outside this…
• Boosting Vision-Language Models with Transduction
  3 Jun 2024 1 repository listed
  Transduction is a powerful paradigm that leverages the structure of unlabeled data to boost predictive accuracy.
• Label Propagation for Zero-shot Classification with Vision-Language Models
  5 Apr 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  We leverage the graph structure of the unlabeled data and introduce ZLaP, a method based on label propagation (LP) that utilizes geodesic distances for classification.
• FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
  28 Feb 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  This paper presents FlowCyt, the first comprehensive benchmark for multi-class single-cell classification in flow cytometry data.
• Fast Online Node Labeling for Very Large Graphs
  25 May 2023 1 repository listed Syntology ran 1 of 9 samples · 8 unverified
  This paper studies the online node classification problem under a transductive learning setting.
• Distributed representations of graphs for drug pair scoring
  19 Sep 2022 1 repository listed
  In this paper we study the practicality and usefulness of incorporating distributed representations of graphs into models within the context of drug pair scoring.
• Few-shot bioacoustic event detection at the DCASE 2022 challenge
  14 Jul 2022 1 repository listed
  This paper presents an overview of the second edition of the few-shot bioacoustic sound event detection task included in the DCASE 2022 challenge.
• TransBoost: Improving the Best ImageNet Performance using Deep Transduction
  26 May 2022 1 repository listed
  This paper deals with deep transductive learning, and proposes TransBoost as a procedure for fine-tuning any deep neural model to improve its performance on any (unlabeled) test set provided at training time.
• View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
  17 Mar 2022 1 repository listed
  Performing transductive learning on graphs with very few labeled data, that is, two or three samples for each category, is challenging due to the lack of supervision.
• Sparsity-aware neural user behavior modeling in online interaction platforms
  28 Feb 2022 1 repository listed
  With the rapid proliferation of such online services, learning data-driven user behavior models is indispensable to enable personalized user experiences.
• HGATE: Heterogeneous Graph Attention Auto-Encoders
  28 Nov 2021 1 repository listed
  In general, graph auto-encoders based on homogeneous graphs are not applicable to heterogeneous graphs.
• Towards Evaluating the Robustness of Neural Networks Learned by Transduction
  27 Oct 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  There has been emerging interest in using transductive learning for adversarial robustness (Goldwasser et al., NeurIPS 2020; Wu et al., ICML 2020; Wang et al., ArXiv 2021).
• Transductive Learning for Unsupervised Text Style Transfer
  16 Sep 2021 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  The proposed transductive learning approach is general and effective to the task of unsupervised style transfer, and we will apply it to the other two typical methods in the future.
• Joint Inductive and Transductive Learning for Video Object Segmentation
  8 Aug 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In this work, we propose to integrate transductive and inductive learning into a unified framework to exploit the complementarity between them for accurate and robust video object segmentation.
• BertGCN: Transductive Text Classification by Combining GCN and BERT
  12 May 2021 1 repository listed
  In this work, we propose BertGCN, a model that combines large scale pretraining and transductive learning for text classification.

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.