Jacob Steinhardt

40 papers and 1.2k indexed citations i.

Jacob Steinhardt has authored 40 papers that have received a total of 1.2k indexed citations. This includes 30 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. The topics of these papers are Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Data Classification (8 papers) and Machine Learning and Algorithms (8 papers). Jacob Steinhardt is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Data Classification (8 papers) and Machine Learning and Algorithms (8 papers) and collaborates with scholars based in United States, United Kingdom and China. Jacob Steinhardt's co-authors include Percy Liang, Dawn Song, Dan Hendrycks, Steven Basart and Mantas Mazeika and has published in prestigious journals such as Communications of the ACM, International Journal of Epidemiology and The Annals of Statistics