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MULTI-VIEW LEARNING

Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as a particular view.

Source: Dissimilarity-based representation for radiomics applications

Papers

Showing 125 of 256 papers

TitleStatusHype
Trusted Multi-View Classification with Dynamic Evidential FusionCode2
Reliable Conflictive Multi-View LearningCode2
Siamese DETRCode1
Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion ModelCode1
Robust Variational Contrastive Learning for Partially View-unaligned ClusteringCode1
Shared Independent Component Analysis for Multi-Subject NeuroimagingCode1
Heterogeneous Graph Contrastive Multi-view LearningCode1
A Comparative Assessment of Multi-view fusion learning for Crop ClassificationCode1
CPM-Nets: Cross Partial Multi-View NetworksCode1
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataCode1
Multi-View Learning with Context-Guided Receptance for Image DenoisingCode1
Dual Contrastive Prediction for Incomplete Multi-view Representation LearningCode1
Deep Multi-View Learning via Task-Optimal CCACode1
Deep Tensor CCA for Multi-view LearningCode1
Learning Autoencoders with Relational RegularizationCode1
Co-mining: Self-Supervised Learning for Sparsely Annotated Object DetectionCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-IdentificationCode1
COMPLETER: Incomplete Multi-view Clustering via Contrastive PredictionCode1
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing ApplicationsCode1
ConsRec: Learning Consensus Behind Interactions for Group RecommendationCode1
Localized Sparse Incomplete Multi-view ClusteringCode1
A Clustering-guided Contrastive Fusion for Multi-view Representation LearningCode1
Dual Adversarial Domain AdaptationCode1
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
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