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SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

May 08, 2020
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar

* CVPR 2020 

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High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Nov 05, 2019
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

* In Advances in Neural Information Processing Systems (NeurIPS), 2019 

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Model-Based Reinforcement Learning for Atari

Mar 05, 2019
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Ryan Sepassi, George Tucker, Henryk Michalewski


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VideoFlow: A Flow-Based Generative Model for Video

Mar 04, 2019
Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma


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Evaluating Feature Importance Estimates

Jun 28, 2018
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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Hierarchical Long-term Video Prediction without Supervision

Jun 12, 2018
Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee

* International Conference on Machine Learning (ICML) 2018 

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Stochastic Variational Video Prediction

Mar 06, 2018
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine


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The (Un)reliability of saliency methods

Nov 02, 2017
Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim


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Learning how to explain neural networks: PatternNet and PatternAttribution

Oct 24, 2017
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne


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Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Aug 23, 2017
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

* Final CVPR 2017 paper and supplementary material 

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SSD: Single Shot MultiBox Detector

Dec 29, 2016
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg

* ECCV 2016 

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Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

Sep 21, 2016
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan

* IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: PP, Issue: 99 , July 2016 ) 
* arXiv admin note: substantial text overlap with arXiv:1411.4555 

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Domain Separation Networks

Aug 22, 2016
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

* This work will be presented at NIPS 2016 

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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Scalable, High-Quality Object Detection

Dec 09, 2015
Christian Szegedy, Scott Reed, Dumitru Erhan, Dragomir Anguelov, Sergey Ioffe


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Show and Tell: A Neural Image Caption Generator

Apr 20, 2015
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan


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Training Deep Neural Networks on Noisy Labels with Bootstrapping

Apr 15, 2015
Scott Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich


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Doubly Robust Policy Evaluation and Optimization

Mar 10, 2015
Miroslav DudĂ­k, Dumitru Erhan, John Langford, Lihong Li

* Statistical Science 2014, Vol. 29, No. 4, 485-511 
* Published in at http://dx.doi.org/10.1214/14-STS500 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Going Deeper with Convolutions

Sep 17, 2014
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich


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Intriguing properties of neural networks

Feb 19, 2014
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus


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Using Web Co-occurrence Statistics for Improving Image Categorization

Dec 20, 2013
Samy Bengio, Jeff Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer


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Scalable Object Detection using Deep Neural Networks

Dec 08, 2013
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov


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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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Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits

Oct 16, 2012
Miroslav Dudik, Dumitru Erhan, John Langford, Lihong Li

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Deep Self-Taught Learning for Handwritten Character Recognition

Sep 18, 2010
Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, Francois Savard, Guillaume Sicard


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