MULTI-VIEW LEARNING

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 75 papers with code (256 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.

• Neural News Recommendation with Attentive Multi-View Learning
  12 Jul 2019 7 repositories listed
  In the user encoder we learn the representations of users based on their browsed news and apply attention mechanism to select informative news for user representation learning.
• Trusted Multi-View Classification
  3 Feb 2021 5 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  To this end, we propose a novel multi-view classification method, termed trusted multi-view classification, which provides a new paradigm for multi-view learning by dynamically integrating different views at an evidence…
• Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
  7 Apr 2021 4 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  The Information Bottleneck (IB) provides an information theoretic principle for representation learning, by retaining all information relevant for predicting label while minimizing the redundancy.
• Variational Distillation for Multi-View Learning
  20 Jun 2022 3 repositories listed
  Information Bottleneck (IB) based multi-view learning provides an information theoretic principle for seeking shared information contained in heterogeneous data descriptions.
• Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction
  9 Feb 2015 3 repositories listed
  As a consequence, the high order correlation information contained in the different views is explored and thus a more reliable common subspace shared by all features can be obtained.
• Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
  22 Jul 2024 2 repositories listed
  Multi-sensor ML models for EO aim to enhance prediction accuracy by integrating data from various sources.
• Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
  2 Oct 2023 2 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 4 pointer-only (licence)
  The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning.
• EIT: Enhanced Interactive Transformer
  20 Dec 2022 2 repositories listed
  Two principles: the complementary principle and the consensus principle are widely acknowledged in the literature of multi-view learning.
• Trusted Multi-View Classification with Dynamic Evidential Fusion
  25 Apr 2022 2 repositories listed
  With this in mind, we propose a novel multi-view classification algorithm, termed trusted multi-view classification (TMC), providing a new paradigm for multi-view learning by dynamically integrating different views at…
• COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
  22 Mar 2021 2 repositories listed
  In this paper, we study two challenging problems in incomplete multi-view clustering analysis, namely, i) how to learn an informative and consistent representation among different views without the help of labels and…
• Deep brain state classification of MEG data
  2 Jul 2020 2 repositories listed
  The experimental results of cross subject multi-class classification on the studied MEG dataset show that the inclusion of attention improves the generalization of the models across subjects.
• Learning Autoencoders with Relational Regularization
  7 Feb 2020 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  A new algorithmic framework is proposed for learning autoencoders of data distributions.
• Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
  16 Aug 2019 2 repositories listed
  Multi-view learning improves the learning performance by utilizing multi-view data: data collected from multiple sources, or feature sets extracted from the same data source.
• Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
  7 May 2025 1 repository listed
  Existing trusted multi-view learning methods implicitly assume that multi-view data is secure.
• Multi-View Learning with Context-Guided Receptance for Image Denoising
  5 May 2025 1 repository listed
  The model is validated on multiple real-world image denoising datasets, outperforming the existing state-of-the-art methods quantitatively and reducing inference time up to 40\%.
• Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model
  2 Mar 2025 1 repository listed
  Effective generation of molecular structures, or new chemical entities, that bind to target proteins is crucial for lead identification and optimization in drug discovery.
• Balanced Multi-view Clustering
  5 Jan 2025 1 repository listed
  The widely used joint training paradigm in MvC is potentially not fully leverage the multi-view information, since the imbalanced and under-optimized view-specific features caused by the uniform learning objective for…
• Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
  2 Jan 2025 1 repository listed
  The results indicate that our methods improve model robustness under conditions of moderate missingness, and improve the predictive performance when all views are present.
• OpenViewer: Openness-Aware Multi-View Learning
  17 Dec 2024 1 repository listed
  However, deploying these models in real-world scenarios presents two primary openness challenges.
• Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
  6 Nov 2024 1 repository listed
  To the best of our knowledge, this is one of the pioneering efforts to formulate a hierarchical aggregation framework in the trusted multi-view learning domain.
• Generalizable and Robust Spectral Method for Multi-view Representation Learning
  4 Nov 2024 1 repository listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  We introduce SpecRaGE, a novel fusion-based framework that integrates the strengths of graph Laplacian methods with the power of deep learning to overcome these challenges.
• Robust Variational Contrastive Learning for Partially View-unaligned Clustering
  28 Oct 2024 1 repository listed
  To address these problems, we propose a robust framework, dubbed VariatIonal ConTrAstive Learning (VITAL), designed to learn both common and specific information simultaneously.
• Dynamic Evidence Decoupling for Trusted Multi-view Learning
  4 Oct 2024 1 repository listed
  To mitigate this, researchers propose trusted multi-view learning methods that estimate classification probabilities and uncertainty by learning the class distributions for each instance.
• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography
  15 Sep 2024 1 repository listed
  The fundamental problem with ultrasound-guided diagnosis is that the acquired images are often 2-D cross-sections of a 3-D anatomy, potentially missing important anatomical details.
• Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
  13 Aug 2024 1 repository listed
  To address this, we present BunCa, a novel bundle recommendation approach employing item-level causation-enhanced multi-view learning.
• Discovering Common Information in Multi-view Data
  21 Jun 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  We introduce an innovative and mathematically rigorous definition for computing common information from multi-view data, drawing inspiration from G\'acs-K\"orner common information in information theory.
• LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
  14 Jun 2024 1 repository listed
  It extends the well-known CIFAR 10/100 dataset with audio samples extracted from three audio corpora, and text data generated using the Gemma-7B Large Language Model (LLM).
• TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
  6 Jun 2024 1 repository listed
  Time series classification (TSC) on multivariate time series is a critical problem.
• Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
  25 May 2024 1 repository listed
  Distribution-free uncertainty estimation for ensemble methods is increasingly desirable due to the widening deployment of multi-modal black-box predictive models.
• URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression
  24 Apr 2024 1 repository listed
  Linking a claim to grounded references is a critical ability to fulfill human demands for authentic and reliable information.

Syntology lines on 6 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.