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Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations

Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations

7 October 2015
Weiran Wang
R. Arora
Karen Livescu
Nathan Srebro
    ODLBDL
ArXiv (abs)PDFHTML

Papers citing "Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations"

28 / 28 papers shown
Dimensionality Reduction of Dynamics on Lie Manifolds via
  Structure-Aware Canonical Correlation Analysis
Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis
Wooyoung Chung
Daniel Polani
Stas Tiomkin
38
0
0
17 Nov 2023
Multimodal Understanding Through Correlation Maximization and
  Minimization
Multimodal Understanding Through Correlation Maximization and Minimization
Yi Shi
Marc Niethammer
190
1
0
04 May 2023
A Generalized EigenGame with Extensions to Multiview Representation
  Learning
A Generalized EigenGame with Extensions to Multiview Representation Learning
James Chapman
A. L. Aguila
Lennie Wells
178
0
0
21 Nov 2022
Dynamically-Scaled Deep Canonical Correlation Analysis
Dynamically-Scaled Deep Canonical Correlation AnalysisPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Tomer Friedlander
Lior Wolf
135
1
0
23 Mar 2022
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
An Online Riemannian PCA for Stochastic Canonical Correlation AnalysisNeural Information Processing Systems (NeurIPS), 2021
Zihang Meng
Rudrasis Chakraborty
Vikas Singh
114
10
0
08 Jun 2021
$\ell_0$-based Sparse Canonical Correlation Analysis
ℓ0\ell_0ℓ0​-based Sparse Canonical Correlation Analysis
Ofir Lindenbaum
Moshe Salhov
Amir Averbuch
Y. Kluger
232
1
0
12 Oct 2020
Practical Cross-modal Manifold Alignment for Grounded Language
Practical Cross-modal Manifold Alignment for Grounded Language
A. Nguyen
Luke E. Richards
Gaoussou Youssouf Kebe
Edward Raff
Kasra Darvish
Frank Ferraro
Cynthia Matuszek
154
4
0
01 Sep 2020
Multi-Temporal Scene Classification and Scene Change Detection with
  Correlation based Fusion
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based FusionIEEE Transactions on Image Processing (TIP), 2020
Lixiang Ru
Bo Du
Chen Wu
166
80
0
03 Jun 2020
Sparse Generalized Canonical Correlation Analysis: Distributed
  Alternating Iteration based Approach
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach
Jia Cai
Kexin Lv
Junyi Huo
Xiaolin Huang
Jie Yang
108
3
0
23 Apr 2020
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word
  Embeddings
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Pratik Jawanpuria
Mayank Meghwanshi
Bamdev Mishra
146
22
0
06 Apr 2020
Deep Multi-View Learning via Task-Optimal CCA
Deep Multi-View Learning via Task-Optimal CCA
Heather D. Couture
Roland Kwitt
J. S. Marron
M. Troester
C. Perou
Marc Niethammer
176
6
0
17 Jul 2019
An Efficient Approach to Informative Feature Extraction from Multimodal
  Data
An Efficient Approach to Informative Feature Extraction from Multimodal DataAAAI Conference on Artificial Intelligence (AAAI), 2018
Lichen Wang
Jiaxiang Wu
Shao-Lun Huang
Lizhong Zheng
Xiangxiang Xu
Lin Zhang
Junzhou Huang
176
74
0
22 Nov 2018
Non-linear Canonical Correlation Analysis: A Compressed Representation
  Approach
Non-linear Canonical Correlation Analysis: A Compressed Representation Approach
Amichai Painsky
M. Feder
Naftali Tishby
111
10
0
31 Oct 2018
A Unified Framework for Domain Adaptation using Metric Learning on
  Manifolds
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds
Sridhar Mahadevan
Bamdev Mishra
Shalini Ghosh
147
28
0
28 Apr 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech InductionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
K. Stratos
323
28
0
20 Apr 2018
Quantifying the visual concreteness of words and topics in multimodal
  datasets
Quantifying the visual concreteness of words and topics in multimodal datasets
Jack Hessel
David M. Mimno
Lillian Lee
201
40
0
18 Apr 2018
Deep Hyperalignment
Deep Hyperalignment
Muhammad Yousefnezhad
Daoqiang Zhang
204
17
0
11 Oct 2017
Acoustic Feature Learning via Deep Variational Canonical Correlation
  Analysis
Acoustic Feature Learning via Deep Variational Canonical Correlation AnalysisInterspeech (Interspeech), 2017
Qingming Tang
Weiran Wang
Karen Livescu
DRL
148
20
0
11 Aug 2017
Scalable and Effective Deep CCA via Soft Decorrelation
Scalable and Effective Deep CCA via Soft Decorrelation
Xiaobin Chang
Tao Xiang
Timothy M. Hospedales
141
3
0
30 Jul 2017
Deep Generalized Canonical Correlation Analysis
Deep Generalized Canonical Correlation Analysis
Adrian Benton
Huda Khayrallah
B. Gujral
Dee Ann Reisinger
Sheng Zhang
R. Arora
262
154
0
08 Feb 2017
DeMIAN: Deep Modality Invariant Adversarial Network
DeMIAN: Deep Modality Invariant Adversarial Network
Kuniaki Saito
Yusuke Mukuta
Yoshitaka Ushiku
Tatsuya Harada
VLMGAN
152
5
0
23 Dec 2016
A Survey of Multi-View Representation Learning
A Survey of Multi-View Representation Learning
Yingming Li
Ming Yang
Zhongfei Zhang
AI4TS3DV
642
586
0
03 Oct 2016
Application of multiview techniques to NHANES dataset
Application of multiview techniques to NHANES dataset
Aileme Omogbai
56
1
0
16 Aug 2016
Efficient Algorithms for Large-scale Generalized Eigenvector Computation
  and Canonical Correlation Analysis
Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis
Rong Ge
Chi Jin
Sham Kakade
Praneeth Netrapalli
Aaron Sidford
304
82
0
13 Apr 2016
Efficient Globally Convergent Stochastic Optimization for Canonical
  Correlation Analysis
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
Weiran Wang
Jialei Wang
Dan Garber
Nathan Srebro
295
31
0
07 Apr 2016
On Deep Multi-View Representation Learning: Objectives and Optimization
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang
R. Arora
Karen Livescu
J. Bilmes
SSLDRL
316
1,000
0
02 Feb 2016
A C++ library for Multimodal Deep Learning
A C++ library for Multimodal Deep Learning
Jian Jin
VLM
193
1
0
22 Dec 2015
Large-Scale Approximate Kernel Canonical Correlation Analysis
Large-Scale Approximate Kernel Canonical Correlation Analysis
Weiran Wang
Karen Livescu
398
57
0
15 Nov 2015
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