Samuel Weinbach

2 papers and 173 indexed citations i.

Samuel Weinbach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Samuel Weinbach has authored 2 papers receiving a total of 173 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 Samuel Weinbach’s work include Topic Modeling (2 papers), Multimodal Machine Learning Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Samuel Weinbach is often cited by papers focused on Topic Modeling (2 papers), Multimodal Machine Learning Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Samuel Weinbach collaborates with scholars based in United States and Germany. Samuel Weinbach's co-authors include Stella Biderman, Jason Phang, Ben Wang, Horace He, Leo Gao, Quentin Anthony, Laria Reynolds, Kyle McDonell and Michael Pieler and has published in prestigious journals such as arXiv (Cornell University).