Jonathon Shlens

106 papers A* 29A 3Journal 58Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning Visual Composition through Improved Semantic Guidance. CVPR Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2025	A*	`conf`	Towards flexible perception with visual memory. ICML Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024	J	`jnl`	Learning Visual Composition through Improved Semantic Guidance. CoRR Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2024	A*	`conf`	MOFI: Learning Image Representations from Noisy Entity Annotated Images. ICLR Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang
2024	J	`jnl`	Towards flexible perception with visual memory. CoRR Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2023	J	`jnl`	MOFI: Learning Image Representations from Noisy Entity Annotated Images. CoRR Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang
2023	J	`jnl`	On Robustness in Multimodal Learning. CoRR Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev
2023	A*	`conf`	Perceptual Grouping in Contrastive Vision-Language Models. ICCV Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
2023	A*	`conf`	Robustness in Multimodal Learning under Train-Test Modality Mismatch. ICML Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev
2023	A*	`conf`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023	J	`jnl`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2022	A	`conf`	Mitigating Bias in Calibration Error Estimation. AISTATS Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2022	J	`jnl`	Perceptual Grouping in Vision-Language Models. CoRR Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
2022	—	`conf`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	Scalable Scene Flow From Point Clouds in the Real World. IEEE Robotics Autom. Lett. Philipp Jund, Chris Sweeney, Nichola Abdo, Zhifeng Chen, Jonathon Shlens
2022	A*	`conf`	Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens
2021	A*	`conf`	Bottleneck Transformers for Visual Recognition. CVPR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	J	`jnl`	Bottleneck Transformers for Visual Recognition. CoRR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021	J	`jnl`	Pseudo-labeling for Scalable 3D Object Detection. CoRR Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
2021	A*	`conf`	Revisiting ResNets: Improved Training and Scaling Strategies. NeurIPS Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	J	`jnl`	Revisiting ResNets: Improved Training and Scaling Strategies. CoRR Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	J	`jnl`	Scalable Scene Flow from Point Clouds in the Real World. CoRR Philipp Jund, Chris Sweeney, Nichola Abdo, Zhifeng Chen, Jonathon Shlens
2021	A*	`conf`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CVPR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2021	J	`jnl`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CoRR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens
2021	A*	`conf`	Soft Calibration Objectives for Neural Networks. NeurIPS Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs
2021	J	`jnl`	Soft Calibration Objectives for Neural Networks. CoRR Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs
2020	—	`conf`	Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
2020	J	`jnl`	Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
2020	—	`conf`	Learning Data Augmentation Strategies for Object Detection. ECCV (27) Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2020	J	`jnl`	Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	J	`jnl`	Mitigating bias in calibration error estimation. CoRR Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
2020	—	`conf`	Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	A*	`conf`	RandAugment: Practical Automated Data Augmentation with a Reduced Search Space. NeurIPS Ekin Dogus Cubuk, Barret Zoph, Jonathon Shlens, Quoc Le
2020	—	`conf`	Randaugment: Practical automated data augmentation with a reduced search space. CVPR Workshops Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2020	A*	`conf`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. ICML Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2020	J	`jnl`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. CoRR Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2020	A*	`conf`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2020	—	`conf`	Streaming Object Detection for 3-D Point Clouds. ECCV (18) Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2020	J	`jnl`	Streaming Object Detection for 3-D Point Clouds. CoRR Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2019	A*	`conf`	A Fourier Perspective on Model Robustness in Computer Vision. NeurIPS Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin Dogus Cubuk, Justin Gilmer
2019	J	`jnl`	A Fourier Perspective on Model Robustness in Computer Vision. CoRR Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer
2019	A*	`conf`	A Learned Representation for Scalable Vector Graphics. ICCV Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019	—	`conf`	A Learned Representation for Scalable Vector Graphics. DGS@ICLR Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019	J	`jnl`	A Learned Representation for Scalable Vector Graphics. CoRR Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
2019	J	`jnl`	Accelerating Training of Deep Neural Networks with a Standardization Loss. CoRR Jasmine Collins, Johannes Ballé, Jonathon Shlens
2019	A*	`conf`	Attention Augmented Convolutional Networks. ICCV Irwan Bello, Barret Zoph, Quoc Le, Ashish Vaswani, Jonathon Shlens
2019	J	`jnl`	Attention Augmented Convolutional Networks. CoRR Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le
2019	A*	`conf`	Do Better ImageNet Models Transfer Better? CVPR Simon Kornblith, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	Learning Data Augmentation Strategies for Object Detection. CoRR Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	RandAugment: Practical data augmentation with no separate search. CoRR Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2019	A*	`conf`	Stand-Alone Self-Attention in Vision Models. NeurIPS Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens
2019	J	`jnl`	Stand-Alone Self-Attention in Vision Models. CoRR Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens
2019	J	`jnl`	StarNet: Targeted Computation for Object Detection in Point Clouds. CoRR Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan
2019	J	`jnl`	Using Videos to Evaluate Image Model Robustness. CoRR Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens
2019	J	`jnl`	Using learned optimizers to make models robust to input noise. CoRR Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk
2019	J	`jnl`	Visual Wake Words Dataset. CoRR Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes
2018	—	`conf`	A Dataset and Architecture for Visual Reasoning with a Working Memory. ECCV (10) Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo
2018	J	`jnl`	A dataset and architecture for visual reasoning with a working memory. CoRR Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo
2018	J	`jnl`	Do Better ImageNet Models Transfer Better? CoRR Simon Kornblith, Jonathon Shlens, Quoc V. Le
2018	A*	`conf`	Learning Transferable Architectures for Scalable Image Recognition. CVPR Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le
2018	—	`conf`	Learning a neural response metric for retinal prosthesis. ICLR (Poster) Nishal P. Shah, Sasidhar Madugula, E. J. Chichilnisky, Yoram Singer, Jonathon Shlens
2018	—	`conf`	Progressive Neural Architecture Search. ECCV (1) Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2018	—	`conf`	Recurrent Segmentation for Variable Computational Budgets. CVPR Workshops Lane McIntosh, Niru Maheswaranathan, David Sussillo, Jonathon Shlens
2018	A*	`conf`	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2018	J	`jnl`	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2017	—	`conf`	A Learned Representation For Artistic Style. ICLR (Poster) Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
2017	A*	`conf`	Conditional Image Synthesis with Auxiliary Classifier GANs. ICML Augustus Odena, Christopher Olah, Jonathon Shlens
2017	A	`conf`	Exploring the structure of a real-time, arbitrary neural artistic stylization network. BMVC Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
2017	J	`jnl`	Exploring the structure of a real-time, arbitrary neural artistic stylization network. CoRR Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
2017	J	`jnl`	Learning Transferable Architectures for Scalable Image Recognition. CoRR Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le
2017	A	`conf`	PixColor: Pixel Recursive Colorization. BMVC Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy
2017	J	`jnl`	PixColor: Pixel Recursive Colorization. CoRR Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy
2017	A*	`conf`	Pixel Recursive Super Resolution. ICCV Ryan Dahl, Mohammad Norouzi, Jonathon Shlens
2017	J	`jnl`	Pixel Recursive Super Resolution. CoRR Ryan Dahl, Mohammad Norouzi, Jonathon Shlens
2017	J	`jnl`	Progressive Neural Architecture Search. CoRR Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2017	J	`jnl`	Recurrent Segmentation for Variable Computational Budgets. CoRR Lane McIntosh, David Sussillo, Niru Maheswaranathan, Jonathon Shlens
2017	A*	`conf`	YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. CVPR Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke
2017	J	`jnl`	YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. CoRR Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke
2016	J	`jnl`	A Learned Representation For Artistic Style. CoRR Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur
2016	J	`jnl`	Conditional Image Synthesis With Auxiliary Classifier GANs. CoRR Augustus Odena, Christopher Olah, Jonathon Shlens
2016	A*	`conf`	Net2Net: Accelerating Learning via Knowledge Transfer. ICLR Tianqi Chen, Ian J. Goodfellow, Jonathon Shlens
2016	A*	`conf`	Rethinking the Inception Architecture for Computer Vision. CVPR Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
2016	J	`jnl`	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2015	J	`jnl`	Adversarial Autoencoders. CoRR Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow
2015	—	`conf`	Deep Networks With Large Output Spaces. ICLR (Workshop) Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik
2015	—	`conf`	Explaining and Harnessing Adversarial Examples. ICLR (Poster) Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy
2015	J	`jnl`	Rethinking the Inception Architecture for Computer Vision. CoRR Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
2014	J	`jnl`	A Light Discussion and Derivation of Entropy. CoRR Jonathon Shlens
2014	J	`jnl`	A Tutorial on Independent Component Analysis. CoRR Jonathon Shlens
2014	J	`jnl`	A Tutorial on Principal Component Analysis. CoRR Jonathon Shlens
2014	J	`jnl`	Notes on Generalized Linear Models of Neurons. CoRR Jonathon Shlens
2014	J	`jnl`	Notes on Kullback-Leibler Divergence and Likelihood. CoRR Jonathon Shlens
2014	—	`conf`	Zero-Shot Learning by Convex Combination of Semantic Embeddings. ICLR Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
2013	—	`conf`	DeViSE: A Deep Visual-Semantic Embedding Model. NIPS Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomás Mikolov
2013	A*	`conf`	Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine. CVPR Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
2013	J	`jnl`	Using Web Co-occurrence Statistics for Improving Image Categorization. CoRR Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
2012	J	`jnl`	Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. J. Comput. Neurosci. Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W. Pillow, Jayant Kulkarni, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli, Liam Paninski
2012	A*	`conf`	Three Controversial Hypotheses Concerning Computation in the Primate Cortex. AAAI Thomas L. Dean, Greg Corrado, Jonathon Shlens
2007	J	`jnl`	Estimating Information Rates with Confidence Intervals in Neural Spike Trains. Neural Comput. Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky
2005	J	`jnl`	Estimating Entropy Rates with Bayesian Confidence Intervals. Neural Comput. Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky