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Multiview Learning

6 papers with code ยท Computer Vision

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Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views

5 Nov 2019

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.

MACHINE TRANSLATION MULTIVIEW LEARNING

Direct Quantification for Coronary Artery Stenosis Using Multiview Learning

20 Jul 2019

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.

MULTIVIEW LEARNING

Semi-Supervised Sequence Modeling with Cross-View Training

EMNLP 2018

We therefore propose Cross-View Training (CVT), a semi-supervised learning algorithm that improves the representations of a Bi-LSTM sentence encoder using a mix of labeled and unlabeled data.

DEPENDENCY PARSING LANGUAGE MODELLING MACHINE TRANSLATION MULTI-TASK LEARNING MULTIVIEW LEARNING UNSUPERVISED REPRESENTATION LEARNING

Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing

EMNLP 2018

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.

ENTITY TYPING MULTIVIEW LEARNING MULTI-VIEW LEARNING

Twitter User Geolocation using Deep Multiview Learning

11 May 2018

Predicting the geographical location of users on social networks like Twitter is an active research topic with plenty of methods proposed so far.

MULTIVIEW LEARNING

Water from Two Rocks: Maximizing the Mutual Information

24 Feb 2018

In co-training/multiview learning, the goal is to aggregate two views of data into a prediction for a latent label.

MULTIVIEW LEARNING

Multiview Deep Learning for Predicting Twitter Users' Location

21 Dec 2017

In the context of Twitter user geolocation, we realize MENET with textual, network, and metadata features.

MULTIVIEW LEARNING

Application of multiview techniques to NHANES dataset

16 Aug 2016

Disease prediction or classification using health datasets involve using well-known predictors associated with the disease as features for the models.

DISEASE PREDICTION MULTIVIEW LEARNING