Kyle Hsu

6 papers and 63 indexed citations i.

Kyle Hsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Kyle Hsu has authored 6 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Kyle Hsu’s work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). Kyle Hsu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). Kyle Hsu collaborates with scholars based in United States, Canada and Germany. Kyle Hsu's co-authors include Ming C. Wu, Ryan Going, Tae Joon Seok, Chelsea Finn, Sergey Levine, Anne-Kathrin Schmuck, Rupak Majumdar, Kaushik Mallik, Abhishek Gupta and Benjamin Eysenbach and has published in prestigious journals such as Optics Express, arXiv (Cornell University) and Neural Information Processing Systems.