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Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

May 19, 2020
Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski

* ICRA 2020 

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X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions

Apr 20, 2020
Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg

* 8 pages, 6 figures 

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Policies Modulating Trajectory Generators

Oct 07, 2019
Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke

* In Proceedings of The 2nd Conference on Robot Learning, volume 87 of Proceedings of Machine Learning Research, pages 916-926. PMLR, 29-31 Oct 2018 

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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Nov 28, 2018
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

* CoRL 2018 camera ready. 23 pages, 14 figures 

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Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

Nov 19, 2018
Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine

* Proceedings of The 2nd Conference on Robot Learning, in PMLR 87:99-112 (2018) 
* CoRL 2018. Eric Jang and Coline Devin contributed equally to this work 

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TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

Oct 31, 2018
Danijar Hafner, James Davidson, Vincent Vanhoucke

* White paper, 7 pages 

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Classification of crystallization outcomes using deep convolutional neural networks

May 26, 2018
Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Christopher J. Watkins, Shawn Williams, Julie Wilson

* 11 pages, 4 figures, minor text and figure updates 

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Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

May 16, 2018
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke

* Accompanying video: https://www.youtube.com/watch?v=lUZUr7jxoqM 

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Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Sep 25, 2017
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke

* 9 pages, 5 figures, 3 tables 

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YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Mar 24, 2017
Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke

* Accepted at the Conference on Computer Vision and Pattern Recognition (CVPR) 2017 

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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aug 23, 2016
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi


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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Mar 16, 2016
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

* Version 2 updates only the metadata, to correct the formatting of Mart\'in Abadi's name 

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Rethinking the Inception Architecture for Computer Vision

Dec 11, 2015
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna


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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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