Jon Shlens
Cited by
Cited by
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Rethinking the inception architecture for computer vision
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Explaining and harnessing adversarial examples
I Goodfellow, J Shlens, C Szegedy
ICLR, 2014
A tutorial on principal component analysis
J Shlens
arXiv preprint arXiv:1404.1100, 2014
Learning transferable architectures for scalable image recognition
B Zoph, V Vasudevan, J Shlens, QV Le
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Devise: A deep visual-semantic embedding model
A Frome, G Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, T Mikolov
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
International conference on machine learning, 2642-2651, 2017
Adversarial autoencoders
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2015
Spatio-temporal correlations and visual signalling in a complete neuronal population
JW Pillow, J Shlens, L Paninski, A Sher, AM Litke, EJ Chichilnisky, ...
Nature 454 (7207), 995-999, 2008
Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ...
arXiv preprint arXiv:1312.5650, 2013
A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur
arXiv preprint arXiv:1610.07629, 2016
The structure of multi-neuron firing patterns in primate retina
J Shlens, GD Field, JL Gauthier, MI Grivich, D Petrusca, A Sher, AM Litke, ...
Journal of Neuroscience 26 (32), 8254-8266, 2006
Net2net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
arXiv preprint arXiv:1511.05641, 2015
Fast, accurate detection of 100,000 object classes on a single machine
T Dean, MA Ruzon, M Segal, J Shlens, S Vijayanarasimhan, J Yagnik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Do better imagenet models transfer better?
S Kornblith, J Shlens, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Functional connectivity in the retina at the resolution of photoreceptors
GD Field, JL Gauthier, A Sher, M Greschner, TA Machado, LH Jepson, ...
Nature 467 (7316), 673-677, 2010
Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
E Real, J Shlens, S Mazzocchi, X Pan, V Vanhoucke
proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, MD Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
arXiv preprint arXiv:1809.04184, 2018
Pixel recursive super resolution
R Dahl, M Norouzi, J Shlens
Proceedings of the IEEE international conference on computer vision, 5439-5448, 2017
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