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Explaining and Harnessing Adversarial Examples
- Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy
- Computer ScienceICLR
- 19 December 2014
TLDR
Rethinking the Inception Architecture for Computer Vision
- Christian Szegedy, Vincent Vanhoucke, S. Ioffe, Jonathon Shlens, Z. Wojna
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 2 December 2015
TLDR
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Martín Abadi, Ashish Agarwal, Xiaoqiang Zheng
- Computer ScienceArXiv
- 14 March 2016
TLDR
Learning Transferable Architectures for Scalable Image Recognition
- Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 21 July 2017
TLDR
Conditional Image Synthesis with Auxiliary Classifier GANs
- Augustus Odena, C. Olah, Jonathon Shlens
- Computer ScienceICML
- 30 October 2016
TLDR
DeViSE: A Deep Visual-Semantic Embedding Model
- Andrea Frome, G. Corrado, Tomas Mikolov
- Computer ScienceNIPS
- 5 December 2013
TLDR
Progressive Neural Architecture Search
- Chenxi Liu, Barret Zoph, K. Murphy
- Computer ScienceECCV
- 2 December 2017
We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary…
Adversarial Autoencoders
- Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow
- Computer ScienceArXiv
- 18 November 2015
TLDR
A Tutorial on Principal Component Analysis
- Jonathon Shlens
- Computer ScienceArXiv
- 3 April 2014
TLDR
Randaugment: Practical automated data augmentation with a reduced search space
- E. D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 30 September 2019
TLDR
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