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Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective


Jun 17, 2021
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu

* fixed some typos in the proofs 

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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components


Oct 07, 2020
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong


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Data Techniques For Online End-to-end Speech Recognition


Jan 24, 2020
Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang

* 5 pages, 1 figure 

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Semi-supervised ASR by End-to-end Self-training


Jan 24, 2020
Yang Chen, Weiran Wang, Chao Wang

* 5 pages, 3 figures 

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Acoustic scene analysis with multi-head attention networks


Sep 16, 2019
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang

* 8 pages, 6 figures 

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Multimodal and Multi-view Models for Emotion Recognition


Jun 24, 2019
Gustavo Aguilar, Viktor Rozgić, Weiran Wang, Chao Wang

* ACL 2019 

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Everything old is new again: A multi-view learning approach to learning using privileged information and distillation


Mar 08, 2019
Weiran Wang


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Acoustic feature learning using cross-domain articulatory measurements


Mar 20, 2018
Qingming Tang, Weiran Wang, Karen Livescu

* ICASSP 2018 

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Distributed Stochastic Multi-Task Learning with Graph Regularization


Feb 11, 2018
Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro


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Stochastic Nonconvex Optimization with Large Minibatches


Nov 12, 2017
Weiran Wang, Nathan Srebro

* Experimental results have been added 

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Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis


Aug 31, 2017
Qingming Tang, Weiran Wang, Karen Livescu


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Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch-Prox


Jun 09, 2017
Jialei Wang, Weiran Wang, Nathan Srebro


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Multi-view Recurrent Neural Acoustic Word Embeddings


Mar 10, 2017
Wanjia He, Weiran Wang, Karen Livescu

* Appearing in ICLR 2017 

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Efficient coordinate-wise leading eigenvector computation


Feb 25, 2017
Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro


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Deep Variational Canonical Correlation Analysis


Feb 25, 2017
Weiran Wang, Xinchen Yan, Honglak Lee, Karen Livescu


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Stochastic Canonical Correlation Analysis


Feb 21, 2017
Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang


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Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis


Nov 14, 2016
Weiran Wang, Jialei Wang, Dan Garber, Nathan Srebro

* Accepted by NIPS 2016 

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End-to-End Training Approaches for Discriminative Segmental Models


Oct 21, 2016
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu


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Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation


Sep 26, 2016
Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu

* arXiv admin note: substantial text overlap with arXiv:1608.08339 

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Discriminative Segmental Cascades for Feature-Rich Phone Recognition


Aug 04, 2016
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu


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Efficient Segmental Cascades for Speech Recognition


Aug 02, 2016
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu


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Large-Scale Approximate Kernel Canonical Correlation Analysis


Feb 29, 2016
Weiran Wang, Karen Livescu

* Published as a conference paper at International Conference on Learning Representations (ICLR) 2016 

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Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation


Feb 13, 2016
Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu


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Nonparametric Canonical Correlation Analysis


Feb 07, 2016
Tomer Michaeli, Weiran Wang, Karen Livescu


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Network Inference by Learned Node-Specific Degree Prior


Feb 07, 2016
Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu


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On Column Selection in Approximate Kernel Canonical Correlation Analysis


Feb 05, 2016
Weiran Wang


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On Deep Multi-View Representation Learning: Objectives and Optimization


Feb 02, 2016
Weiran Wang, Raman Arora, Karen Livescu, Jeff Bilmes


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Deep convolutional acoustic word embeddings using word-pair side information


Jan 08, 2016
Herman Kamper, Weiran Wang, Karen Livescu

* 5 pages, 3 figures; added reference, acknowledgement and link to code 

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Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations


Oct 07, 2015
Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro

* in 2015 Annual Allerton Conference on Communication, Control and Computing 

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Projection onto the capped simplex


Mar 03, 2015
Weiran Wang, Canyi Lu


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