Dan Friedman

16 papers and 309 indexed citations i.

Dan Friedman has authored 16 papers that have received a total of 309 indexed citations. This includes 6 papers in Artificial Intelligence, 2 papers in Political Science and International Relations and 2 papers in Visual Arts and Performing Arts. The topics of these papers are Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Dan Friedman is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States and Israel. Dan Friedman's co-authors include Danqi Chen, Martha Steenstrup, Yoram Groner, Michihiro Yasunaga and Joseph Lotem and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and ACM SIGCOMM Computer Communication Review