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Sherjil Ozair
Researcher at Université de Montréal
Publications - 31
Citations - 49038
Sherjil Ozair is an academic researcher from Université de Montréal. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 15, co-authored 27 publications receiving 36959 citations. Previous affiliations of Sherjil Ozair include Baidu & Indian Institute of Technology Delhi.
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Journal ArticleDOI
Generative Adversarial Nets
Ian Goodfellow,Jean Pouget-Abadie,Mehdi Mirza,Bing Xu,David Warde-Farley,Sherjil Ozair,Aaron Courville,Yoshua Bengio +7 more
TL;DR: A new framework for estimating generative models via an adversarial process, in which two models are simultaneously train: a generative model G that captures the data distribution and a discriminative model D that estimates the probability that a sample came from the training data rather than G.
Posted Content
Generative Adversarial Networks
Ian Goodfellow,Jean Pouget-Abadie,Mehdi Mirza,Bing Xu,David Warde-Farley,Sherjil Ozair,Aaron Courville,Yoshua Bengio +7 more
TL;DR: In this article, a generative adversarial network (GAN) is proposed to estimate generative models via an adversarial process, in which two models are simultaneously trained: a generator G and a discriminator D that estimates the probability that a sample came from the training data rather than G.
Journal ArticleDOI
Generative adversarial networks
Ian Goodfellow,Jean Pouget-Abadie,Mehdi Mirza,Bing Xu,David Warde-Farley,Sherjil Ozair,Aaron Courville,Yoshua Bengio +7 more
TL;DR: A generative adversarial networks algorithm designed to solve the generative modeling problem and its applications in medicine, education and robotics are studied.
End to end speech recognition in English and Mandarin
Dario Amodei,Rishita Anubhai,Eric Battenberg,Carl Case,Jared Casper,Bryan Catanzaro,Jingdong Chen,Mike Chrzanowski,Adam Coates,Greg Diamos,Erich Elsen,Jesse Engel,Linxi Fan,Christopher Fougner,Tony X. Han,Awni Hannun,Billy Jun,Patrick LeGresley,Libby Lin,Sharan Narang,Andrew Y. Ng,Sherjil Ozair,Ryan Prenger,Jonathan Raiman,Sanjeev Satheesh,David Seetapun,Shubho Sengupta,Yi Wang,Zhiqian Wang,Chong Wang,Bo Xiao,Dani Yogatama,Jun Zhan,Zhenyao Zhu +33 more
TL;DR: It is shown that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech-two vastly different languages, and is competitive with the transcription of human workers when benchmarked on standard datasets.
Proceedings Article
Deep speech 2: end-to-end speech recognition in English and mandarin
Dario Amodei,Sundaram Ananthanarayanan,Rishita Anubhai,Jingliang Bai,Eric Battenberg,Carl Case,Jared Casper,Bryan Catanzaro,Qiang Cheng,Guoliang Chen,Jie Chen,Jingdong Chen,Zhijie Chen,Mike Chrzanowski,Adam Coates,Greg Diamos,Ke Ding,Niandong Du,Erich Elsen,Jesse Engel,Weiwei Fang,Linxi Fan,Christopher Fougner,Liang Gao,Caixia Gong,Awni Hannun,Tony X. Han,Lappi Vaino Johannes,Bing Jiang,Cai Ju,Billy Jun,Patrick LeGresley,Libby Lin,Junjie Liu,Yang Liu,Weigao Li,Xiangang Li,Dongpeng Ma,Sharan Narang,Andrew Y. Ng,Sherjil Ozair,Yiping Peng,Ryan Prenger,Sheng Qian,Zongfeng Quan,Jonathan Raiman,Vinay Rao,Sanjeev Satheesh,David Seetapun,Shubho Sengupta,Kavya Srinet,Anuroop Sriram,Haiyuan Tang,Liliang Tang,Chong Wang,Jidong Wang,Kaifu Wang,Yi Wang,Zhijian Wang,Zhiqian Wang,Shuang Wu,Likai Wei,Bo Xiao,Wen Xie,Yan Xie,Dani Yogatama,Bin Yuan,Jun Zhan,Zhenyao Zhu +68 more
TL;DR: In this article, an end-to-end deep learning approach was used to recognize either English or Mandarin Chinese speech-two vastly different languages-using HPC techniques, enabling experiments that previously took weeks to now run in days.