Jonathon Shlens
Jonathon Shlens
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} symposium on operating systems design and implementation …, 2016
32072*2016
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
160482016
Explaining and harnessing adversarial examples
I Goodfellow, J Shlens, C Szegedy
ICLR, 2014
93002014
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
34022018
A tutorial on principal component analysis
J Shlens
arXiv preprint arXiv:1404.1100, 2014
31732014
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
International conference on machine learning, 2642-2651, 2017
21692017
Devise: A deep visual-semantic embedding model
A Frome, G Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, T Mikolov
21642013
Adversarial autoencoders
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2015
19752015
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
13402008
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
12632018
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
7852013
A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur
arXiv preprint arXiv:1610.07629, 2016
7272016
Do better imagenet models transfer better?
S Kornblith, J Shlens, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
5652019
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
5312006
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk, B Zoph, J Shlens, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
4752020
Net2net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
arXiv preprint arXiv:1511.05641, 2015
4602015
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
3942013
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3702020
Attention augmented convolutional networks
I Bello, B Zoph, A Vaswani, J Shlens, QV Le
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3492019
Stand-alone self-attention in vision models
P Ramachandran, N Parmar, A Vaswani, I Bello, A Levskaya, J Shlens
arXiv preprint arXiv:1906.05909, 2019
3422019
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Artikkelit 1–20