Multi-View Learning

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Overview

Multi-view learning studies how to learn from several representations of the same objects, such as camera angles, sensors, modalities, or feature spaces, to use shared evidence and complementary signals. Common approaches include canonical correlation and joint-individual factor models, contrastive and self-supervised alignment, shared/private representation learning, and graph- or attention-based fusion; optimal transport can help align views with uncertain correspondences. Applications range from 3D perception and robotics to medical imaging, brain data, recommendation, and multi-omics, with evaluation often testing missing views, noise, domain shifts, or limited labels. A central challenge is deciding when and how to fuse: views may be redundant, unreliable, conflicting, or unevenly informative, so more inputs do not always help; current work examines view selection, uncertainty-aware fusion, incomplete data, and theoretical guarantees.

Latest papers

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187 papers19 papers in the last four weeks, up 19% on the four weeks before. 0.1% of all new papers.

  1. ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation

    Apr 15, 2026Xiaofan Zhou, Kyumin LeeMulti-View Contrastive LearningSequential Recommendation

    Worcester Polytechnic Institute, Worcester, USA

  2. Cross-Attentive Multiview Fusion of Vision-Language Embeddings

    Apr 14, 2026Tomas Berriel Martins, Martin R. Oswald, Javier CiveraMulti-View Feature Fusion3D VLMs

    University of Zaragoza, Spain · University of Amsterdam, Netherlands

  3. Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

    Apr 10, 2026Pablo Mercader-Perez, Carolina Cuesta-Lazaro, Daniel Muthukrishna +5AstrophysicsMultimodal Disentangled Representation Learning

    Massachusetts Institute of Technology · Flatiron Institute, Simons Foundation · Institute for Advanced Studies +5

  4. Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification

    Apr 10, 2026Yilin Zhang, Cai Xu, Haishun Chen +2Evidential Deep LearningUncertainty Quantification

    Xidian University, Xi’an, China

  5. Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches

    Apr 7, 2026Marcin Michał MirończukData FusionMultimodal Fusion

    National Information Processing Institute, al. Niepodległości 188b, 00-608, Warsaw, Poland

  6. Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation

    Apr 5, 2026Xu Yan, Jun Yin, Shiliang Sun +1Multi-Label ClassificationMulti-View Learning

    College of Information Engineering, Shanghai Maritime University · School of Automation and Intelligent Sensing, Shanghai Jiao Tong University

  7. Structure-Preserving Multi-View Embedding Using Gromov-Wasserstein Optimal Transport

    Apr 3, 2026Rafael Pereira Eufrazio, Eduardo Fernandes Montesuma, Charles Casimiro CavalcanteMultidimensional ScalingMulti-View Learning

    Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Canindé, Ceará, Brazil · Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil · Sigma Nova, Paris, France

  8. FusionBERT: Multi-View Image--3D Retrieval via Cross-Attention Visual Fusion and Normal-Aware 3D Encoder

    Apr 2, 2026Wei Li, Yufan Ren, Hanqing Jiang +6Multi-View LearningCross-Modal Retrieval

    IROOTECH TECHNOLOGY, Hangzhou, Zhejiang, China · Wolf 1069 b Lab, Sany Group, Hangzhou, Zhejiang, China · Zhejiang University, Hangzhou, Zhejiang, China +4

  9. RGB-Pointmap Pretraining for Unified 3D Scene Understanding

    Apr 2, 2026Ye Mao, Weixun Luo, Ranran Huang +23D Foundation ModelsMulti-View Learning

    Imperial College London

  10. Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection

    Apr 2, 2026Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1Multimodal Anomaly DetectionMulti-View Learning

    CVLab, University of Bologna · Ca’ Foscari University of Venice

  11. Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification

    Mar 30, 2026Yangmei Chen, Zhongyuan Zhang, Xikun Zhang +4Thyroid Nodule DetectionUltrasound Image Classification

    Guangdong Institute of Smart Education, Jinan University, Guangzhou 510632, China

  12. SHANDS: A Multi-View Dataset and Benchmark for Surgical Hand-Gesture and Error Recognition Toward Medical Training

    Mar 27, 2026Le Ma, Thiago Freitas dos Santos, Nadia Magnenat-Thalmann +1Surgical Video UnderstandingGesture Recognition

    1MIRALab · 2Quality of Life Technologies Lab (QoL Lab), University of Geneva

  13. MVRD-Bench: Multi-View Learning and Benchmarking for Dynamic Remote Photoplethysmography under Occlusion

    Mar 24, 2026Zuxian He, Xu Cheng, Zhaodong Sun +4Remote PhotoplethysmographyMulti-View Learning

    Nanjing University of Information Science and Technology · University of Oulu · Xi’an Jiaotong University +1

  14. Beyond Viewpoint Generalization: What Multi-View Demonstrations Offer and How to Synthesize Them for Robot Manipulation?

    Mar 23, 2026Boyang Cai, Qiwei Liang, Jiawei Li +11Multi-View LearningGeneralization in Robotic Manipulation

    The Hong Kong University of Science and Technology (Guangzhou) · Shenzhen University · Beijing Jiaotong University +1

  15. Multi-view Graph Convolutional Network with Fully Leveraging Consistency via Granular-ball-based Topology Construction, Feature Enhancement and Interactive Fusion

    Mar 20, 2026Chengjie Cui, Taihua Xu, Shuyin Xia +3Graph Neural NetworksMulti-View Learning

    School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212100, China · Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · College of Computer and Data Science, Fuzhou University, Fuzhou 350116, China

  16. AdaMuS: Adaptive Multi-view Sparsity Learning for Dimensionally Unbalanced Data

    Mar 18, 2026Cai Xu, Changhao Sun, Ziyu Guan +1Multi-View Learning

    Xidian University, Xi’an 710071, China. · the School of Computer Science and Technology · the School of Cyber Engineering.

  17. Probabilistic Joint and Individual Variation Explained (ProJIVE) for Data Integration

    Mar 12, 2026Raphiel J. Murden, Ganzhong Tian, Deqiang Qiu +1Latent Variable ModelsPrincipal Component Analysis

    Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA · Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322, USA

  18. MAD: Microenvironment-Aware Distillation -- A Pretraining Strategy for Virtual Spatial Omics from Microscopy

    Mar 11, 2026Jiashu Han, Kunzan Liu, Yeojin Kim +2Spatial Gene Expression PredictionSelf-Supervised Knowledge Distillation

    Research Laboratory of Electronics, Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology · The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology +1

  19. Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

    Mar 10, 2026Wei Liang, Lifang HeBrain Disorder ClassificationNeuroimaging

    Lehigh University, Bethlehem, PA, USA

  20. M2M^2-Occ: Resilient 3D Semantic Occupancy Prediction for Autonomous Driving with Incomplete Camera Inputs

    Mar 10, 2026Kaixin Lin, Kunyu Peng, Di Wen +3Multi-View LearningAutonomous Driving Perception

    School of Artificial Intelligence and Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, China · Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany

  21. GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis

    Mar 10, 2026Tran Bao Sam, Hung Vu, Dao Trung Kien +3Medical Image AnalysisMedical Image Classification

    NVIDIA, Ho Chi Minh City, Vietnam

  22. M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition

    Mar 10, 2026Yanshan Li, Ke Ma, Miaomiao Wei +1Skeleton-Based Action RecognitionContrastive Learning

    Shenzhen University, the Institute of Intelligence Information Processing, and the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen 518000, China

  23. Hyperbolic Multiview Pretraining for Robotic Manipulation

    Mar 5, 2026Jin Yang, Ping Wei, Yixin Chen +1Robotic Manipulation3D Representation Learning

    National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University

  24. CLIP-Guided Multi-Task Regression for Multi-View Plant Phenotyping

    Mar 4, 2026Simon Warmers, Muhammad Zawish, Fayaz Ali Dharejo +2Plant PhenotypingMulti-View Learning

    Computer Vision Lab, CAIDAS, IFI, University of Würzburg, Germany · Technological University Dublin, Ireland

  25. Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation

    Mar 4, 2026Tao Xie, Yan Li, Yongpan Sheng +1Hypergraph LearningEducational Data Mining

    Tao Xie, Yan Li, and Jian Liao are with the Faculty of Education, Southwest University, Chongqing, China 400715 · Yongpan Sheng is with the College of Computer and Information Science, Southwest University, Chongqing, China 400715

  26. SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection

    Mar 3, 2026Cheng Peng, Yonghao Li, Wanfu Gao +2Feature SelectionMulti-View Learning

    the College of Software, Jilin University, Changchun 130012, China · the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Changchun 130012, China · the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu 611130, China +5

  27. Provable Subspace Identification of Nonlinear Multi-view CCA

    Feb 27, 2026Zhiwei Han, Stefan Matthes, Hao ShenRepresentation IdentifiabilityParameter Identifiability

    Chair of Data Processing, Technical University of Munich, Germany · fortiss GmbH, Munich, Germany

  28. Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise

    Feb 26, 2026Peihan Wu, Guanjie Cheng, Yufei Tong +2Multi-View ConsistencyMulti-View Learning

    Zhejiang University Hangzhou, China

  29. Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading

    Feb 25, 2026Haoran Li, Yuxin Lin, Huan Wang +9Diabetic Retinopathy GradingMulti-View Learning

    Department of Data Science and Artificial Intelligence, Monash University, Melbourne, Australia · ARC Centre of Excellence for the Weather of the 21st Century · Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China +8

  30. Human-level 3D shape perception emerges from multi-view learning

    Feb 19, 2026Tyler Bonnen, Jitendra Malik, Angjoo KanazawaMulti-View LearningSelf-Supervised Visual Representation Learning

    University of California, Berkeley