Nikoli Dryden
About
Nikoli Dryden has authored 18 papers that have received a total of 212 indexed citations.
This includes 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Information Systems. The topics of these papers are Advanced Neural Network Applications (11 papers), Stochastic Gradient Optimization Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nikoli Dryden is often cited by papers focused on Advanced Neural Network Applications (11 papers), Stochastic Gradient Optimization Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers) and collaborates with scholars based in United States, Switzerland and United Kingdom. Nikoli Dryden's co-authors include Brian Van Essen, Marc Snir, Tim Moon, Torsten Hoefler and Naoya Maruyama and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Machine Learning Research and IEEE Transactions on Parallel and Distributed Systems
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