Jonathon Shlens
Co-Authors
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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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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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Jay
Yagnik
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Jeffrey Dean
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Josh
Levenberg
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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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Navdeep
Jaitly
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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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Sherry Moore
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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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Zhifeng
Chen
Google Publications
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow
International Conference on Learning Representations (2016) (to appear)
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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) (to appear)
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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)
