Nicholas Frosst

4 papers and 366 indexed citations i.

Nicholas Frosst is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicholas Frosst has authored 4 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nicholas Frosst’s work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Nicholas Frosst is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Nicholas Frosst collaborates with scholars based in United States. Nicholas Frosst's co-authors include Geoffrey E. Hinton, Sara Sabour, Nicolas Papernot, Yao Qin, Rishabh Agarwal, Garrison W. Cottrell, Xuezhou Zhang, Rich Caruana and Colin Raffel and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.