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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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WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

Jun 05, 2020
Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong


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Fast and Robust Unsupervised Contextual Biasing for Speech Recognition

May 04, 2020
Young Mo Kang, Yingbo Zhou

* 4 pages, 1 figure 

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Differentially Private Deep Learning with Smooth Sensitivity

Mar 01, 2020
Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong


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Private Deep Learning with Teacher Ensembles

Jun 05, 2019
Lichao Sun, Yingbo Zhou, Ji Wang, Jia Li, Richard Sochar, Philip S. Yu, Caiming Xiong


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Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

May 21, 2019
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong


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Augmented Cyclic Adversarial Learning for Domain Adaptation

Aug 07, 2018
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

* 13 pages, 3 figures, 7 tables 

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A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation

Jul 09, 2018
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

* Accepted to Interspeech 2018 

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End-to-End Dense Video Captioning with Masked Transformer

Apr 03, 2018
Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong

* To appear at CVPR18 

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Improved Regularization Techniques for End-to-End Speech Recognition

Dec 19, 2017
Yingbo Zhou, Caiming Xiong, Richard Socher


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Improving End-to-End Speech Recognition with Policy Learning

Dec 19, 2017
Yingbo Zhou, Caiming Xiong, Richard Socher


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On Optimality Conditions for Auto-Encoder Signal Recovery

Jul 13, 2017
Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Nils Napp, Venu Govindaraju


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Spelling Correction as a Foreign Language

May 21, 2017
Yingbo Zhou, Utkarsh Porwal, Roberto Konow


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Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

Jul 12, 2016
Devansh Arpit, Yingbo Zhou, Bhargava U. Kota, Venu Govindaraju

* 11 pages, ICML 2016, appendix added to the last version 

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Why Regularized Auto-Encoders learn Sparse Representation?

Jun 17, 2016
Devansh Arpit, Yingbo Zhou, Hung Ngo, Venu Govindaraju

* 8 pages of content, 1 page of reference, 4 pages of supplementary. ICML 2016; bug fix in lemma 1 

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Maximum Entropy Binary Encoding for Face Template Protection

Dec 05, 2015
Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

* arXiv admin note: text overlap with arXiv:1506.04340 

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Is Joint Training Better for Deep Auto-Encoders?

Jun 15, 2015
Yingbo Zhou, Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju

* 11 pages, 4 figures 

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Deep Secure Encoding: An Application to Face Recognition

Jun 14, 2015
Rohit Pandey, Yingbo Zhou, Venu Govindaraju


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Challenges in Representation Learning: A report on three machine learning contests

Jul 01, 2013
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

* 8 pages, 2 figures 

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