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ELF-VC: Efficient Learned Flexible-Rate Video Coding


Apr 29, 2021
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir Bourdev


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Learned Video Compression


Nov 16, 2018
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir Bourdev


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Real-Time Adaptive Image Compression


May 16, 2017
Oren Rippel, Lubomir Bourdev

* Published at ICML 2017 

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Avoiding pathologies in very deep networks


Jul 08, 2016
David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani

* Fixed a typo regarding number of layers 

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Metric Learning with Adaptive Density Discrimination


Mar 02, 2016
Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev

* ICLR 2016 

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Scalable Bayesian Optimization Using Deep Neural Networks


Jul 13, 2015
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams


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Spectral Representations for Convolutional Neural Networks


Jun 11, 2015
Oren Rippel, Jasper Snoek, Ryan P. Adams


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Learning Ordered Representations with Nested Dropout


Feb 05, 2014
Oren Rippel, Michael A. Gelbart, Ryan P. Adams

* 11 pages, 5 figures. Submitted for publication 

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High-Dimensional Probability Estimation with Deep Density Models


Feb 20, 2013
Oren Rippel, Ryan Prescott Adams

* 12 pages, 4 figures, 1 table. Submitted for publication 

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