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Jonathon Shlens
Jonathon Shlens
Senior Research Scientist, Machine Learning Research, Apple
Zweryfikowany adres z apple.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
22465*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
214872016
Explaining and harnessing adversarial examples
IJ Goodfellow, J Shlens, C Szegedy
International Conference on Learning Representations (ICLR), 2014
124312014
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
45022018
A tutorial on principal component analysis
J Shlens
arXiv preprint arXiv:1404.1100, 2014
32052014
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
International Conference on Machine Learning (ICML), 2642-2651, 2017
27322017
Devise: A deep visual-semantic embedding model
A Frome, G Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, T Mikolov
Neural Information Processing Systems, 2013
24712013
Adversarial autoencoders
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2015
23862015
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
16072018
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
14172008
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
11142020
Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ...
International Conference on Learning Representations (ICLR), 2013
9022013
A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur
International Conference on Learning Representations (ICLR), 2016
8852016
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
8372020
Do better imagenet models transfer better?
S Kornblith, J Shlens, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
8152019
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
6322019
Stand-alone self-attention in vision models
P Ramachandran, N Parmar, A Vaswani, I Bello, A Levskaya, J Shlens
Advances in Neural Information Processing Systems 32, 2019
5632019
Net2net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
International Conference on Learning Representations (ICLR), 2015
5452015
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
5422006
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
4292017
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