On Deep Multi-View Representation Learning: Objectives and Optimization

On Deep Multi-View Representation Learning: Objectives and Optimization

2 February 2016

Papers citing "On Deep Multi-View Representation Learning: Objectives and Optimization"

16 / 16 papers shown

Title
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 100 0 0 04 Feb 2025
Unsupervised discovery of the shared and private geometry in multi-view data Sai Koukuntla Joshua B. Julian Jesse C. Kaminsky Manuel Schottdorf David W. Tank C. Brody Adam S. Charles 86 1 0 31 Dec 2024
Navigating Conflicting Views: Harnessing Trust for Learning Jueqing Lu Lan Du Wray Buntine M. Jung Joanna Dipnall Lan Du 103 0 0 03 Jun 2024
Self Supervised Correlation-based Permutations for Multi-View Clustering Ran Eisenberg Jonathan Svirsky Ofir Lindenbaum 89 2 0 26 Feb 2024
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 62 6 0 05 Oct 2023
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 112 3,174 0 12 Jan 2023
Deep Generalized Canonical Correlation Analysis Adrian Benton Huda Khayrallah B. Gujral Dee Ann Reisinger Sheng Zhang R. Arora 126 132 0 08 Feb 2017
A Survey of Multi-View Representation Learning Yingming Li Ming Yang Zhongfei Zhang AI4TS 3DV 304 512 0 03 Oct 2016
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations Weiran Wang R. Arora Karen Livescu Nathan Srebro ODL BDL 78 65 0 07 Oct 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis Zhuang Ma Y. Lu Dean Phillips Foster 91 83 0 26 Jun 2015
Correlational Neural Networks A. Chandar Mitesh M. Khapra Hugo Larochelle Balaraman Ravindran CML 75 142 0 27 Apr 2015
Large scale canonical correlation analysis with iterative least squares Y. Lu Dean Phillips Foster 105 55 0 16 Jul 2014
An Autoencoder Approach to Learning Bilingual Word Representations A. Chandar Stanislas Lauly Hugo Larochelle Mitesh M. Khapra Balaraman Ravindran V. Raykar Amrita Saha SSL 100 343 0 06 Feb 2014
Randomized Nonlinear Component Analysis David Lopez-Paz S. Sra Alex Smola Zoubin Ghahramani Bernhard Schölkopf 130 176 0 01 Feb 2014
Multilingual Distributed Representations without Word Alignment Karl Moritz Hermann Phil Blunsom 114 156 0 20 Dec 2013
Correlated random features for fast semi-supervised learning Brian McWilliams David Balduzzi J. M. Buhmann BDL 111 47 0 24 Jun 2013

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