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 with no code
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation
The utilisation of deep learning segmentation algorithms that learn complex organs and tissue patterns and extract essential regions of interest from the noisy background to improve the visual ability for medical image diagnosis has achieved impressive results in Medical Image Computing (MIC).
Assessing the Severity of Health States based on Social Media Posts
The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
In this letter, we take the advantage of active learning and propose active ensemble deep learning (AEDL) for PolSAR image classification.
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
In this paper, we present a conditional GAN with two generators and a common discriminator for multiview learning problems where observations have two views, but one of them may be missing for some of the training samples.
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning
The proposed DMQCA model consists of a multiview module with two attention mechanisms, a key-frame module, and a regression module, to achieve direct accurate multiple-index estimation.
Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Twitter is an active research topic with plenty of methods proposed so far.
Water from Two Rocks: Maximizing the Mutual Information
In co-training/multiview learning, the goal is to aggregate two views of data into a prediction for a latent label.
Multiview Deep Learning for Predicting Twitter Users' Location
In the context of Twitter user geolocation, we realize MENET with textual, network, and metadata features.
Dropping Convexity for More Efficient and Scalable Online Multiview Learning
Multiview representation learning is very popular for latent factor analysis.
