Amanpreet Singh

7 papers and 276 indexed citations i.

Amanpreet Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Amanpreet Singh has authored 7 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Amanpreet Singh’s work include Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Amanpreet Singh is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Amanpreet Singh collaborates with scholars based in United States, India and Canada. Amanpreet Singh's co-authors include Narina Thakur, Aakanksha Sharma, Zhengxuan Wu, Pratik Ringshia, Mohit Bansal, Pontus Stenetorp, Bertie Vidgen, Robin Jia, Zeerak Waseem and Max Bartolo and has published in prestigious journals such as Lecture notes on data engineering and communications technologies, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).