World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
95436
World Ranking
5185
National Ranking
2378

Overview

Jonathon Shlens is affiliated with Google in the United States. Their research focuses primarily on computer science and engineering, with a particular emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, and automotive engineering. Additional work involves building and construction as well as signal processing.

The scientist's research covers a range of topics that include:

  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Traffic Prediction and Management Techniques
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications

Shlens has contributed to multiple publication venues, with a strong presence on arXiv (Cornell University) where they have 19 publications. Other venues where their work has appeared include:

  • Nature Communications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science
  • Neuron

Among recent papers authored or co-authored by Shlens are:

  • Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset, 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Revisiting ResNets: Improved Training and Scaling Strategies, 2021, arXiv (Cornell University)
  • Learning Data Augmentation Strategies for Object Detection, 2020, Lecture notes in computer science
  • Capabilities of Gemini Models in Medicine, 2024, arXiv (Cornell University)
  • Scene Transformer: A unified architecture for predicting multiple agent trajectories, 2021, arXiv (Cornell University)

Shlens has collaborated frequently with a set of co-authors, which include:

  • Benjamin Caine (11 joint publications)
  • Jiquan Ngiam (10 joint publications)
  • Vijay Vasudevan (8 joint publications)
  • Shuyang Cheng (6 joint publications)
  • Dragomir Anguelov (6 joint publications)

Best Publications

  • Rethinking the Inception Architecture for Computer Vision

    Christian Szegedy;Vincent Vanhoucke;Sergey Ioffe;Jon Shlens

  • Explaining and Harnessing Adversarial Examples

    Ian J. Goodfellow;Jonathon Shlens;Christian Szegedy

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • Learning Transferable Architectures for Scalable Image Recognition

    Barret Zoph;Vijay Vasudevan;Jonathon Shlens;Quoc V. Le

  • Conditional image synthesis with auxiliary classifier GANs

    Augustus Odena;Christopher Olah;Jonathon Shlens

  • Scalability in Perception for Autonomous Driving: Waymo Open Dataset

    Pei Sun;Henrik Kretzschmar;Xerxes Dotiwalla;Aurelien Chouard

  • RandAugment: Practical Automated Data Augmentation with a Reduced Search Space

    Ekin Dogus Cubuk;Barret Zoph;Jon Shlens;Quoc Le

  • A Tutorial on Principal Component Analysis.

    Jonathon Shlens

  • Progressive Neural Architecture Search

    Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens

  • Spatio-temporal correlations and visual signalling in a complete neuronal population

    Jonathan William Pillow;Jonathon Shlens;Liam Paninski;Alexander Sher

  • Do Better ImageNet Models Transfer Better

    Simon Kornblith;Jonathon Shlens;Quoc V. Le

  • Bottleneck Transformers for Visual Recognition

    Aravind Srinivas;Tsung-Yi Lin;Niki Parmar;Jonathon Shlens

  • Attention Augmented Convolutional Networks

    Irwan Bello;Barret Zoph;Quoc Le;Ashish Vaswani

  • A Learned Representation For Artistic Style

    Vincent Dumoulin;Jonathon Shlens;Manjunath Kudlur

  • Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi;Tomas Mikolov;Samy Bengio;Yoram Singer

  • The structure of multi-neuron firing patterns in primate retina

    Jonathon Shlens;Greg D. Field;Jeffrey L. Gauthier;Matthew I. Grivich

  • YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

    Esteban Real;Jonathon Shlens;Stefano Mazzocchi;Xin Pan

  • Net2Net: Accelerating Learning via Knowledge Transfer

    Tianqi Chen;Ian Goodfellow;Jonathon Shlens

  • Adversarial Autoencoders

    Alireza Makhzani;Jonathon Shlens;Navdeep Jaitly;Ian Goodfellow

  • Learning Data Augmentation Strategies for Object Detection

    Barret Zoph;Ekin D. Cubuk;Golnaz Ghiasi;Tsung-Yi Lin

  • Stand-Alone Self-Attention in Vision Models

    Prajit Ramachandran;Niki Parmar;Ashish Vaswani;Irwan Bello

Frequent Co-Authors

Barret Zoph
Barret Zoph Google (United States)
E. J. Chichilnisky
E. J. Chichilnisky Stanford University
Ekin D. Cubuk
Ekin D. Cubuk Google (United States)
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Alexander Sher
Alexander Sher University of California, Santa Cruz
Zhifeng Chen
Zhifeng Chen Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Ian Goodfellow
Ian Goodfellow Google (United States)
Hartwig Adam
Hartwig Adam Google (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you explore the field of Computer Science in the USA, it’s important to consider how related online degrees can expand your expertise and career opportunities. Many students and working professionals are turning to flexible online programs to gain specialized knowledge or to embark on new technical careers.

Some pursue an online degree for mechanical engineering, which builds a strong foundation in problem-solving and design – highly valued skills in the tech sector. For those interested in the fundamentals of science and technology, the best online physics degree programs offer rigorous training in analytical thinking and computational modeling.

Data science is another fast-growing field. If cost is a concern, you can find the cheapest master in data science programs that combine affordability with industry-relevant skills like machine learning and big data analytics. Additionally, those interested in hardware and electronics might consider the online bachelor’s in electrical engineering to unlock careers in embedded systems, robotics, and more.

By exploring these related online degrees, you can tailor your studies to match your interests and the evolving needs of the technology job market.

Best Scientists Citing Jonathon Shlens

Trending Scientists

Recently Published Articles