Ian Goodfellow

35 papers and 18.3k indexed citations i.

Ian Goodfellow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ian Goodfellow has authored 35 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Ian Goodfellow’s work include 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). Ian Goodfellow collaborates with scholars based in United States, Canada and France. Ian Goodfellow's co-authors include Aaron Courville, Yoshua Bengio, Nicolas Papernot, Andrew M. Dai and Shreya Shankar and has published in prestigious journals such as Communications of the ACM and Journal of Vision.