Michael R. Zhang

2 papers and 76 indexed citations i.

Michael R. Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Michael R. Zhang has authored 2 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Michael R. Zhang’s work include Advanced Neural Network Applications (1 paper), Machine Learning and Algorithms (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Michael R. Zhang is often cited by papers focused on Advanced Neural Network Applications (1 paper), Machine Learning and Algorithms (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Michael R. Zhang collaborates with scholars based in Canada, United States and United Kingdom. Michael R. Zhang's co-authors include James Lucas, Jimmy Ba, Geoffrey E. Hinton, George Tucker, Ofir Nachum, Mohammad Norouzi, Thomas Paine and Cosmin Păduraru and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.