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Towards End-to-End In-Image Neural Machine Translation

Oct 20, 2020
Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

* Accepted as an oral presentation at EMNLP, NLP Beyond Text workshop, 2020 

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Capturing document context inside sentence-level neural machine translation models with self-training

Mar 11, 2020
Elman Mansimov, Gábor Melis, Lei Yu

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A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models

May 29, 2019
Elman Mansimov, Alex Wang, Kyunghyun Cho

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Molecular geometry prediction using a deep generative graph neural network

Mar 31, 2019
Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho

* 29 pages, 8 figures 

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Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Aug 27, 2018
Jason Lee, Elman Mansimov, Kyunghyun Cho

* Accepted to EMNLP'18 

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Aug 18, 2017
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger Grosse, Jimmy Ba

* 14 pages, 9 figures; update github repo link 

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Generating Images from Captions with Attention

Feb 29, 2016
Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov

* Published as a conference paper at ICLR 2016 

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Unsupervised Learning of Video Representations using LSTMs

Jan 04, 2016
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov

* Added link to code on github 

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Initialization Strategies of Spatio-Temporal Convolutional Neural Networks

Mar 25, 2015
Elman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov

* Technical Report 

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