Mitchell Wortsman

41 total papers · 2.8k total citations
5 papers, 110 citations indexed

Mitchell Wortsman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Mitchell Wortsman has authored 5 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Surgery. Recurrent topics in Mitchell Wortsman’s work include Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mitchell Wortsman is often cited by papers focused on Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mitchell Wortsman collaborates with scholars based in United States, Uganda and Germany. Mitchell Wortsman's co-authors include Ali Farhadi, Jong Wook Kim, Raphael Gontijo Lopes, Simon Kornblith, Gabriel Ilharco, Hannaneh Hajishirzi, Hongseok Namkoong, Ludwig Schmidt, Rebecca Roelofs and Mohammad Rastegari and has published in prestigious journals such as npj Digital Medicine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).