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Kubric: A scalable dataset generator


Mar 07, 2022
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti, Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

* 21 pages, CVPR2022 

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Quantifying Long Range Dependence in Language and User Behavior to improve RNNs


May 23, 2019
Francois Belletti, Minmin Chen, Ed H. Chi


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Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions


Apr 08, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess

* arXiv admin note: substantial text overlap with arXiv:1901.08910 

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Towards Neural Mixture Recommender for Long Range Dependent User Sequences


Feb 22, 2019
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi

* Accepted at WWW 2019 

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Scalable Realistic Recommendation Datasets through Fractal Expansions


Jan 23, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John Anderson


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Top-K Off-Policy Correction for a REINFORCE Recommender System


Dec 06, 2018
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi


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Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning


Jan 30, 2017
Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen


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