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Cascaded Text Generation with Markov Transformers


Jun 01, 2020
Yuntian Deng, Alexander M. Rush


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Residual Energy-Based Models for Text Generation


Apr 22, 2020
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

* ICLR 2020 
* published at ICLR 2020. arXiv admin note: substantial text overlap with arXiv:2004.10188 

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Energy-Based Models for Text


Apr 06, 2020
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

* long journal version 

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AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference


Oct 15, 2019
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David Brooks, Gu-Yeon Wei

* 10 pages 

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Neural Linguistic Steganography


Sep 03, 2019
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush

* EMNLP 2019 Accepted 

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Real or Fake? Learning to Discriminate Machine from Human Generated Text


Jun 07, 2019
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam


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Bottom-Up Abstractive Summarization


Oct 09, 2018
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush

* EMNLP 2018 

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Latent Alignment and Variational Attention


Jul 10, 2018
Yuntian Deng, Yoon Kim, Justin Chiu, Demi Guo, Alexander M. Rush


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OpenNMT: Neural Machine Translation Toolkit


May 28, 2018
Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush

* Presentation to AMTA 2018 - Boston. arXiv admin note: substantial text overlap with arXiv:1701.02810 

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OpenNMT: Open-source Toolkit for Neural Machine Translation


Sep 12, 2017
Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Crego, Jean Senellart, Alexander M. Rush

* Published in EAMT 2017 User Studies and Project/Product Descriptions 

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Image-to-Markup Generation with Coarse-to-Fine Attention


Jun 13, 2017
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush

* Accepted by ICML 2017 

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OpenNMT: Open-Source Toolkit for Neural Machine Translation


Mar 06, 2017
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush

* Report for http://opennmt.net 

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Dropout with Expectation-linear Regularization


Feb 15, 2017
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard Hovy

* Published as a conference paper at ICLR 2017. Camera-ready Version. 23 pages (paper + appendix) 

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Neural Machine Translation with Recurrent Attention Modeling


Jul 18, 2016
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alex Smola


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Learning Concept Taxonomies from Multi-modal Data


Jun 29, 2016
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing

* To appear in ACL 2016 

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Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization


Dec 23, 2015
Pengtao Xie, Yuntian Deng, Eric Xing


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On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization


Nov 23, 2015
Pengtao Xie, Yuntian Deng, Eric Xing


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Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models


Oct 21, 2015
Aaron Q Li, Yuntian Deng, Kublai Jing, Joseph W Robinson


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