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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

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Showing 201–250 of 256 papers

TitleStatusHype
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss—0
Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions—0
Multi-view Regularized Gaussian Processes—0
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants—0
Multi-View representation learning in Multi-Task Scene—0
Multi-view Sentence Representation Learning—0
Multi-view Subspace Adaptive Learning via Autoencoder and Attention—0
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment—0
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation—0
Neural News Recommendation with Heterogeneous User Behavior—0
Explainable Multi-View Deep Networks Methodology for Experimental PhysicsCode0
Dual Memory Neural Computer for Asynchronous Two-view Sequential LearningCode0
URL: Universal Referential Knowledge Linking via Task-instructed Representation CompressionCode0
Balanced Multi-view ClusteringCode0
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack DetectionCode0
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view DataCode0
Deep Double Incomplete Multi-view Multi-label Learning with Incomplete Labels and Missing ViewsCode0
Fine-Tuning Language Models with Reward Learning on PolicyCode0
Syntactic Multi-view Learning for Open Information ExtractionCode0
Patterns for Learning with Side InformationCode0
Bundle Recommendation with Item-level Causation-enhanced Multi-view LearningCode0
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion AggregationCode0
Semantic Invariant Multi-view Clustering with Fully Incomplete InformationCode0
Geolocation of Cultural Heritage using Multi-View Knowledge Graph EmbeddingCode0
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning ApproachCode0
A Tweet-based Dataset for Company-Level Stock Return PredictionCode0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
EIT: Enhanced Interactive TransformerCode0
Discovering Common Information in Multi-view DataCode0
Trusted Multi-view Learning with Label NoiseCode0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity TypingCode0
Reliable Disentanglement Multi-view Learning Against View Adversarial AttacksCode0
Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in EchocardiographyCode0
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA GraphCode0
Multi-View Broad Learning System for Primate Oculomotor Decision DecodingCode0
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based AggregationCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech SynthesisCode0
Deep Multimodality Model for Multi-task Multi-view LearningCode0
Deep brain state classification of MEG dataCode0
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank ModelsCode0
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing DataCode0
Robust Visual Tracking using Multi-Frame Multi-Feature Joint ModelingCode0
Neural News Recommendation with Attentive Multi-View LearningCode0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
Multi-view Information Bottleneck Without Variational ApproximationCode0
Generalizable and Robust Spectral Method for Multi-view Representation LearningCode0
A Survey on Multi-Task LearningCode0
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