Shashank Rajput

3 papers and 18 indexed citations i.

Shashank Rajput is a scholar working on Artificial Intelligence, Clinical Psychology and Marketing. According to data from OpenAlex, Shashank Rajput has authored 3 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Clinical Psychology and 1 paper in Marketing. Recurrent topics in Shashank Rajput’s work include Adversarial Robustness in Machine Learning (2 papers), Machine Learning and ELM (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Shashank Rajput is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Machine Learning and ELM (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Shashank Rajput collaborates with scholars based in United States. Shashank Rajput's co-authors include Zachary Charles, Dimitris Papailiopoulos, Hongyi Wang, Po‐Ling Loh and Zhili Feng and has published in prestigious journals such as Neural Information Processing Systems and International Conference on Machine Learning.