Ian Goodfellow

35 papers and 17.3k indexed citations i.

Ian Goodfellow has authored 35 papers that have received a total of 17.3k indexed citations. This includes 33 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. The topics of these papers are Adversarial Robustness in Machine Learning (18 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Ian Goodfellow is often cited by papers focused on Adversarial Robustness in Machine Learning (18 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Anomaly Detection Techniques and Applications (7 papers) and collaborates with scholars based in United States, Canada and France. Ian Goodfellow's co-authors include Yoshua Bengio, Aaron Courville, Nicolas Papernot, Andrew M. Dai and Gamaleldin F. Elsayed and has published in prestigious journals such as Communications of the ACM and Journal of Vision