Jonathon Shlens

Most-cited papers

Rethinking the Inception Architecture for Computer Vision
C. Szegedy, Vincent Vanhoucke, S. Ioffe, Jonathon Shlens +1 more
2015Computer Vision and Pattern Recognition32K citations
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Explaining and Harnessing Adversarial Examples
I. Goodfellow, Jonathon Shlens, C. Szegedy
2014International Conference on Learning Representations23K citations
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, P. Barham, E. Brevdo +36 more
2016arXiv.org12K citations
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Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition6,317 citations Open access
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard +21 more
2019Computer Vision and Pattern Recognition4,588 citations Open access
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Randaugment: Practical automated data augmentation with a reduced search space
E. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
20192020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)4,496 citations Open access
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Conditional Image Synthesis with Auxiliary Classifier GANs
A. Odena, C. Olah, Jonathon Shlens
2016International Conference on Machine Learning3,599 citations
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DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, G. Corrado, Jonathon Shlens, Samy Bengio +3 more
2013Neural Information Processing Systems3,094 citations
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A Tutorial on Principal Component Analysis
Jonathon Shlens
2014arXiv.org2,783 citations
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Adversarial Autoencoders
Alireza Makhzani, Jonathon Shlens, N. Jaitly, I. Goodfellow +1 more
2015arXiv.org2,414 citations
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Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens +6 more
2017European Conference on Computer Vision2,186 citations
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Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le
2018Computer Vision and Pattern Recognition1,633 citations Open access
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Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, N. Parmar, Ashish Vaswani, Irwan Bello +2 more
2019Neural Information Processing Systems1,395 citations
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A Learned Representation For Artistic Style
V. Dumoulin, Jonathon Shlens, Manjunath Kudlur
2016International Conference on Learning Representations1,286 citations
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Bottleneck Transformers for Visual Recognition
A. Srinivas, Tsung-Yi Lin, N. Parmar, Jonathon Shlens +2 more
2021Computer Vision and Pattern Recognition1,234 citations Open access
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Attention Augmented Convolutional Networks
Irwan Bello, Barret Zoph, Quoc V. Le, Ashish Vaswani +1 more
2019IEEE International Conference on Computer Vision1,191 citations Open access
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Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
S. Ettinger, Shu-Yang Cheng, Benjamin Caine, Chenxi Liu +14 more
2021IEEE International Conference on Computer Vision988 citations Open access
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Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Y. Singer +4 more
2013International Conference on Learning Representations988 citations
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Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, I. Goodfellow, Jonathon Shlens
2015International Conference on Learning Representations778 citations
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A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, E. Cubuk +1 more
2019Neural Information Processing Systems678 citations
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Learning Data Augmentation Strategies for Object Detection
Barret Zoph, E. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin +2 more
2019European Conference on Computer Vision619 citations Open access
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YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
E. Real, Jonathon Shlens, S. Mazzocchi, Xin Pan +1 more
2017Computer Vision and Pattern Recognition584 citations Open access
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Scaling Local Self-Attention for Parameter Efficient Visual Backbones
A. Vaswani, Prajit Ramachandran, A. Srinivas, N. Parmar +2 more
2021Computer Vision and Pattern Recognition483 citations Open access
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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins, Yu-Kun Zhu, G. Papandreou +4 more
2018Neural Information Processing Systems429 citations
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Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello, W. Fedus, Xianzhi Du, E. Cubuk +4 more
2021Neural Information Processing Systems379 citations
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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
Thomas L. Dean, Mark A. Ruzon, Mark E. Segal, Jonathon Shlens +2 more
20132013 IEEE Conference on Computer Vision and Pattern Recognition363 citations
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Functional connectivity in the retina at the resolution of photoreceptors
G. Field, J. Gauthier, A. Sher, M. Greschner +9 more
2010Nature347 citations Open access
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, V. Dumoulin +1 more
2017British Machine Vision Conference313 citations Open access
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Scene Transformer: A unified architecture for predicting multiple agent trajectories
J. Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang +10 more
2021312 citations
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RandAugment: Practical data augmentation with no separate search
E. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2019arXiv.org266 citations
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Pixel Recursive Super Resolution
R. Dahl, Mohammad Norouzi, Jonathon Shlens
2017IEEE International Conference on Computer Vision265 citations Open access
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Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
J. Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang +10 more
2022International Conference on Learning Representations231 citations
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Notes on Kullback-Leibler Divergence and Likelihood
Jonathon Shlens
2014arXiv.org212 citations
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A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David R Ha, Douglas Eck, Jonathon Shlens
2019IEEE International Conference on Computer Vision169 citations Open access
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The structure of large-scale synchronized firing in primate retina
Jonathon Shlens, G. Field, J. Gauthier, M. Greschner +3 more
2009Journal of Neuroscience157 citations Open access
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Mitigating bias in calibration error estimation
R. Roelofs, Nicholas Cain, Jonathon Shlens, M. Mozer
2020International Conference on Artificial Intelligence and Statistics153 citations
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A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings
J. Pillow, Jonathon Shlens, E. Chichilnisky, Eero P. Simoncelli
2013PLoS ONE139 citations Open access
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StarNet: Targeted Computation for Object Detection in Point Clouds
J. Ngiam, Benjamin Caine, Wei Han, Brandon Yang +9 more
2019arXiv.org132 citations
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Soft Calibration Objectives for Neural Networks
A. Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan +3 more
2021Neural Information Processing Systems131 citations
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Visual Wake Words Dataset
A. Chowdhery, Pete Warden, Jonathon Shlens, Andrew G. Howard +1 more
2019arXiv.org128 citations
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Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
M. Vidne, Yashar Ahmadian, Jonathon Shlens, J. Pillow +5 more
2011Journal of Computational Neuroscience118 citations Open access
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PixColor: Pixel Recursive Colorization
S. Guadarrama, R. Dahl, David Bieber, Mohammad Norouzi +2 more
2017British Machine Vision Conference116 citations Open access
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Efficient Coding of Spatial Information in the Primate Retina
E. Doi, J. Gauthier, G. Field, Jonathon Shlens +10 more
2012Journal of Neuroscience116 citations Open access
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Perceptual Grouping in Contrastive Vision-Language Models
Kanchana Ranasinghe, Brandon McKinzie, S. Ravi, Yinfei Yang +2 more
2022IEEE International Conference on Computer Vision97 citations
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Scene Transformer: A unified multi-task model for behavior prediction and planning
J. Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang +10 more
2021arXiv.org93 citations
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Correlated firing among major ganglion cell types in primate retina
M. Greschner, Jonathon Shlens, C. Bakolitsa, G. Field +5 more
2011Journal of Physiology80 citations Open access
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Improving 3D Object Detection through Progressive Population Based Augmentation
Shu-Yang Cheng, Zhaoqi Leng, E. Cubuk, Barret Zoph +9 more
2020European Conference on Computer Vision78 citations Open access
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Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins +4 more
2020arXiv.org74 citations
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Scalable Scene Flow From Point Clouds in the Real World
P. Jund, Chris Sweeney, Nichola Abdo, Z. Chen +1 more
2021IEEE Robotics and Automation Letters69 citations Open access
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A Tutorial on Independent Component Analysis
Jonathon Shlens
2014arXiv.org60 citations
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