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MULTI-VIEW LEARNING

14 papers with code · Computer Vision

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CPM-Nets: Cross Partial Multi-View Networks

NeurIPS 2019 hanmenghan/CPM_Nets

Despite multi-view learning progressed fast in past decades, it is still challenging due to the difficulty in modeling complex correlation among different views, especially under the context of view missing.

MULTI-VIEW LEARNING

Learning Dual Retrieval Module for Semi-supervised Relation Extraction

20 Feb 2019INK-USC/DualRE

In this paper, we leverage a key insight that retrieving sentences expressing a relation is a dual task of predicting relation label for a given sentence---two tasks are complementary to each other and can be optimized jointly for mutual enhancement.

MULTI-VIEW LEARNING RELATION EXTRACTION

Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth

15 Apr 2019wrlife/RNN_depth_pose

Deep learning-based, single-view depth estimation methods have recently shown highly promising results.

DEPTH ESTIMATION MULTI-VIEW LEARNING VISUAL ODOMETRY

Dual Adversarial Domain Adaptation

1 Jan 2020yaoyueduzhen/DADA

Recent experiments have shown that when the discriminator is provided with domain information in both domains and label information in the source domain, it is able to preserve the complex multimodal information and high semantic information in both domains.

MULTI-VIEW LEARNING UNSUPERVISED DOMAIN ADAPTATION

Patterns for Learning with Side Information

19 Nov 2015tu-rbo/concarne

Supervised, semi-supervised, and unsupervised learning estimate a function given input/output samples.

MULTI-TASK LEARNING MULTI-VIEW LEARNING

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

2 Feb 2018thaihungle/DMNC

One of the core tasks in multi-view learning is to capture relations among views.

MULTI-VIEW LEARNING

Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning

17 Sep 2019KurochkinAlexey/Self-boosted-Time-series-Forecasting

A robust model for time series forecasting is highly important in many domains, including but not limited to financial forecast, air temperature and electricity consumption.

MULTI-TASK LEARNING MULTI-VIEW LEARNING TIME SERIES TIME SERIES FORECASTING

Deep Multi-View Learning via Task-Optimal CCA

17 Jul 2019hdcouture/TOCCA

Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use of class labels.

MULTI-VIEW LEARNING