Itay Hubara

8 papers and 666 indexed citations i.

Itay Hubara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Itay Hubara has authored 8 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Itay Hubara’s work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Data Classification (2 papers). Itay Hubara is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Data Classification (2 papers). Itay Hubara collaborates with scholars based in Israel, United States and Canada. Itay Hubara's co-authors include Daniel Soudry, Yoshua Bengio, Matthieu Courbariaux, Ran El‐Yaniv, Elad Hoffer, Tal Ben‐Nun, Torsten Hoefler, Niv Giladi, Ron Banner and Devin S. Zarkowsky and has published in prestigious journals such as Semiconductor Science and Technology, Vascular and Endovascular Surgery and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).