Micah Goldblum

21 papers and 290 indexed citations i.

Micah Goldblum has authored 21 papers that have received a total of 290 indexed citations. This includes 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Adversarial Robustness in Machine Learning (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Neural Network Applications (5 papers). Micah Goldblum is often cited by papers focused on Adversarial Robustness in Machine Learning (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Neural Network Applications (5 papers) and collaborates with scholars based in United States, Germany and China. Micah Goldblum's co-authors include Tom Goldstein, Jonas Geiping, Liam Fowl, Avi Schwarzschild and John P. Dickerson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing