Jonathon Shlens

Google (United States) — United States

Computer Science · Physical Sciences

49h-index40.1kcitations118works17.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Neural Network Applications(42), Domain Adaptation and Few-Shot Learning(28), Neural dynamics and brain function(22), Advanced Image and Video Retrieval Techniques(16), Adversarial Robustness in Machine Learning(16)

Publications118 total

MedGemma Technical Report
ArXiv.org·2025· 14 citedOpen Access
Learning Visual Composition through Improved Semantic Guidance
2025
Learning Visual Composition through Improved Semantic Guidance
arXiv (Cornell University)·2024Open Access
Towards flexible perception with visual memory
arXiv (Cornell University)·2024Open Access
Capabilities of Gemini Models in Medicine
arXiv (Cornell University)·2024· 88 citedOpen Access
Author Correction: Subtle adversarial image manipulations influence both human and machine perception
Nature Communications·2024Open Access
Perceptual Grouping in Contrastive Vision-Language Models
2023· 28 cited
Subtle adversarial image manipulations influence both human and machine perception
Nature Communications·2023· 13 citedOpen Access
On Robustness in Multimodal Learning
arXiv (Cornell University)·2023Open Access
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
arXiv (Cornell University)·2023Open Access
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
2023· 12 citedOpen Access
Perceptual Grouping in Contrastive Vision-Language Models
arXiv (Cornell University)·2022· 1 citedOpen Access
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
Lecture notes in computer science·2022· 16 citedOpen Access
Scalable Scene Flow From Point Clouds in the Real World
IEEE Robotics and Automation Letters·2021· 2 citedOpen Access
Individual variability of neural computations in the primate retina
Neuron·2021· 9 citedOpen Access
Revisiting ResNets: Improved Training and Scaling Strategies
Neural Information Processing Systems·2021· 9 cited
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 438 cited
Three Controversial Hypotheses Concerning Computation in the Primate Cortex
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 2 citedOpen Access
Human susceptibility to subtle adversarial image manipulations with unlimited exposure time
Journal of Vision·2021Open Access
Soft Calibration Objectives for Neural Networks
arXiv (Cornell University)·2021· 8 citedOpen Access
page 1 of 6Next →

Frequent Co-authors

E. J. Chichilnisky(15), A. M. Litke(12), Barret Zoph(11), Alexander Sher(11), Greg D. Field(10), Jeffrey L. Gauthier(10), Martin Greschner(9), Vijay Vasudevan(7), Quoc V. Le(7), Ekin D. Cubuk(7), Benjamin Caine(6), Jiquan Ngiam(6), Ian Goodfellow(5), Zhifeng Chen(4), Manjunath Kudlur(4), Vincent Vanhoucke(4), Pei Sun(4), Yuning Chai(4), Dragomir Anguelov(4), Liam Paninski(4)