Multiview Learning
14 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multiview Learning
MTL-AQA
Multimodal PISA
MNIST Multiview Datasets
Latest papers
mvlearnR and Shiny App for multiview learning
For users with limited programming language, we provide a Shiny Application to facilitate data integration anywhere and on any device.
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning.
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
wqtwjt1996/sum-l
•
•
ICCV 2023
To facilitate the data efficiency of multiview learning, we further perform video-text alignment for first-person and third-person videos, to fully leverage the semantic knowledge to improve video representations.
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
i6092467/semi-supervised-multiview-cbm
•
•
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries.
Interpretable Deep Learning Methods for Multiview Learning
We propose iDeepViewLearn (Interpretable Deep Learning Method for Multiview Learning) for learning nonlinear relationships in data from multiple views while achieving feature selection.
Multi-View Hypercomplex Learning for Breast Cancer Screening
ispamm/phbreast
•
•
To overcome such limitations, in this paper, we propose a methodological approach for multi-view breast cancer classification based on parameterized hypercomplex neural networks.
Stationary Diffusion State Neural Estimation for Multiview Clustering
kunzhan/sdsne
•
•
Meanwhile, instead of using auto-encoder in most unsupervised learning graph neural networks, SDSNE uses a co-supervised strategy with structure information to supervise the model learning.
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
llvqi/multiview_and_self-supervision
•
•
ICLR 2022
Under this model, latent correlation maximization is shown to guarantee the extraction of the shared components across views (up to certain ambiguities).
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
For representation, we consider representations based on the context distribution of the entity (i. e., on its embedding), on the entity's name (i. e., on its surface form) and on its description in Wikipedia.
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Different experiments on three publicly available datasets show the efficiency of the proposed approach with respect to state-of-art models.
