Manjunath Kudlur

Dynamic Control Flow in Large-Scale Machine Learning

May 04, 2018
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Murray, Xiaoqiang Zheng

Figure 2 for Dynamic Control Flow in Large-Scale Machine Learning

Figure 3 for Dynamic Control Flow in Large-Scale Machine Learning

Figure 4 for Dynamic Control Flow in Large-Scale Machine Learning

* EuroSys 2018: Thirteenth EuroSys Conference, April 23-26, 2018, Porto, Portugal. ACM, New York, NY, USA
* Appeared in EuroSys 2018. 14 pages, 16 figures

Access Paper or Ask Questions

Exploring the structure of a real-time, arbitrary neural artistic stylization network

Aug 24, 2017
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens

Figure 2 for Exploring the structure of a real-time, arbitrary neural artistic stylization network

Figure 3 for Exploring the structure of a real-time, arbitrary neural artistic stylization network

Figure 4 for Exploring the structure of a real-time, arbitrary neural artistic stylization network

* Accepted as an oral presentation at British Machine Vision Conference (BMVC) 2017

Access Paper or Ask Questions

A Learned Representation For Artistic Style

Feb 09, 2017
Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur

Figure 2 for A Learned Representation For Artistic Style

Figure 3 for A Learned Representation For Artistic Style

Figure 4 for A Learned Representation For Artistic Style

* 9 pages. 15 pages of Appendix, International Conference on Learning Representations (ICLR) 2017

Access Paper or Ask Questions

TensorFlow: A system for large-scale machine learning

May 31, 2016
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

Figure 2 for TensorFlow: A system for large-scale machine learning

Figure 3 for TensorFlow: A system for large-scale machine learning

Figure 4 for TensorFlow: A system for large-scale machine learning

* 18 pages, 9 figures; v2 has a spelling correction in the metadata

Access Paper or Ask Questions

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

Figure 2 for TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Figure 3 for TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Figure 4 for TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

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

Access Paper or Ask Questions

Order Matters: Sequence to sequence for sets

Feb 23, 2016
Oriol Vinyals, Samy Bengio, Manjunath Kudlur

Figure 2 for Order Matters: Sequence to sequence for sets

Figure 3 for Order Matters: Sequence to sequence for sets

Figure 4 for Order Matters: Sequence to sequence for sets

* Accepted as a conference paper at ICLR 2015

Access Paper or Ask Questions