Jonathon Shlens
Co-Authors
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Andrew Harp
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Andrew Rabinovich
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Andy Davis
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Benoit Steiner
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Christian Szegedy
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Christopher Olah
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Craig Citro
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Derek G. Murray
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Dumitru Erhan
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Esteban Real
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Eugene Brevdo
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Eugene Ie
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Fernanda Viegas
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Geoffrey Irving
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Greg Corrado
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Honglak Lee
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Ian Goodfellow
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Jay Yagnik
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Jeffrey Dean
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Josh Levenberg
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Kevin P. Murphy
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Kunal Talwar
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Lukasz Kaiser
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Manjunath Kudlur
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Mark Segal
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Martin Wattenberg
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Martin Wicke
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Martín Abadi
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Matthieu Devin
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Michael Isard
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Mike Schuster
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Mohammad Norouzi
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Oriol Vinyals
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Paul A. Tucker
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Paul Barham
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Pete Warden
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Quoc V. Le
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Rajat Monga
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Samy Bengio
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Sanjay Ghemawat
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Sergey Ioffe
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Sergio Guadarrama
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Sherry Moore
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Sudheendra Vijayanarasimhan
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Thomas Dean
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Vijay Vasudevan
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Vincent Vanhoucke
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Xiaoqiang Zheng
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Yangqing Jia
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Yoram Singer
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Yuan Yu
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Zbigniew Wojna
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Zhifeng Chen
Google Publications
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Towards learning a metric for neural prosthetics
Nishal P Shah, Sasidhar Madugula, Alan Litke, Alexander Sher, EJ Chichilnisky, Yoram Singer, Jonathon Shlens
ICLR (2018) (to appear)
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A Learned Representation For Artistic Style
Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
ICLR (2017)
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Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
ICML (2017)
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
Proceedings of the 28th British Machine Vision Conference (BMVC) (2017)
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PixColor: Pixel Recursive Colorization
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy
Proceedings of the 28th British Machine Vision Conference (BMVC) (2017)
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Pixel Recursive Super Resolution
Ryan Dahl, Mohammad Norouzi, Jonathan Shlens
ICCV (2017)
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YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Dataset for Object Detection in Video
Esteban Real, Jon Shlens, Stefano Mazzocchi, Vincent Vanhoucke, Xin Pan
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7464-7473
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow
International Conference on Learning Representations (2016)
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Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, Ian Goodfellow, Jonathon Shlens
International Conference on Learning Representations (2016)
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Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, (2016)
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Deep Networks With Large Output Spaces
Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik
International Conference on Learning Representations (2015)
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Explaining and Harnessing Adversarial Examples
Ian Goodfellow, Jonathon Shlens, Christian Szegedy
International Conference on Learning Representations (2015)
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg 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 Mané, 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 Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
tensorflow.org (2015)
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Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
International Conference on Learning Representations (2014)
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DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, Tomas Mikolov
Neural Information Processing Systems (NIPS) (2013)
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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)
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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine: Technical Supplement
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)
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Using Web Co-occurrence Statistics for Improving Image Categorization
Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
arXiv (2013)
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Three Controversial Hypotheses Concerning Computation in the Primate Cortex
Thomas Dean, Greg Corrado, Jonathon Shlens
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI Press (2012)