Barret Zoph is a researcher affiliated with Google in the United States focusing on various domains within computer science. Their work primarily spans several subfields, including artificial intelligence, computer vision and pattern recognition, automotive engineering, information systems, and health informatics.
The researcher has contributed extensively to the literature on advanced neural network applications, topic modeling, domain adaptation and few-shot learning, natural language processing techniques, multimodal machine learning applications, video surveillance and tracking methods, and machine learning and data classification.
Barret Zoph has published the majority of their work through the venue arXiv (Cornell University), with 22 publications recorded there. Other publication venues include Lecture Notes in Computer Science, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Frequent collaborators in their research include Ekin D. Cubuk, Quoc V. Le, William Fedus, Tsung-Yi Lin, and Jonathon Shlens.
Several notable papers by Barret Zoph include:
Barret Zoph;Vijay Vasudevan;Jonathon Shlens;Quoc V. Le
Barret Zoph;Quoc V. Le
Daniel S. Park;William Chan;Yu Zhang;Chung-Cheng Chiu
Ekin Dogus Cubuk;Barret Zoph;Jon Shlens;Quoc Le
Ekin D. Cubuk;Barret Zoph;Dandelion Mane;Vijay Vasudevan
Unknown
Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens
Unknown
Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le
Prajit Ramachandran;Barret Zoph;Quoc V. Le
Ekin Dogus Cubuk;Barret Zoph;Dandelion Mane;Vijay Vasudevan
Irwan Bello;Barret Zoph;Quoc Le;Ashish Vaswani
Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le
Barret Zoph;Deniz Yuret;Jonathan May;Kevin Knight
Golnaz Ghiasi;Yin Cui;Aravind Srinivas;Rui Qian
Dan Hendrycks;Norman Mu;Ekin Dogus Cubuk;Barret Zoph
Prajit Ramachandran;Barret Zoph;Quoc V. Le
Gabriel M. Bender;Pieter-jan Kindermans;Barret Zoph;Vijay Vasudevan
Barret Zoph;Ekin D. Cubuk;Golnaz Ghiasi;Tsung-Yi Lin
William Fedus;Barret Zoph;Noam Shazeer
Barret Zoph;Golnaz Ghiasi;Tsung-Yi Lin;Yin Cui
Liang-Chieh Chen;Maxwell D. Collins;Yukun Zhu;George Papandreou
Irwan Bello;Barret Zoph;Vijay Vasudevan;Quoc V. Le
If you think any of the details on this page are incorrect, let us know.
Exploring alternative pathways in computer science has never been more accessible. For students looking to begin quickly, online associate degree programs can provide a solid foundation in just six months, perfect for those eager to enter the workforce or continue studies.
If you’re considering expanding your skillset beyond tech, many business schools online offer programs tailored for future entrepreneurs and managers, merging business acumen with your computing knowledge.
Affordability is also a key factor. You can find excellent, accredited programs from the least expensive online bachelor's degree options—making it easier to advance your education without incurring heavy debt.
Lastly, for those interested in combining computing with applied technology, the demand for graduates from reputable engineering schools online continues to grow, opening pathways into industries like robotics, aerospace, and design.
University of Technology of Troyes
McMaster University
KU Leuven
University of Reggio Calabria
Yokohama National University
University of Montpellier
Trinity College Dublin
University of Wisconsin–Madison
Harvard University
University of Pennsylvania
King's College London
Hong Kong University of Science and Technology
University of Nebraska at Omaha
George Mason University
Universidade de São Paulo
Korea Advanced Institute of Science and Technology
