Russ R. Salakhutdinov

13 papers and 307 indexed citations i.

Russ R. Salakhutdinov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Russ R. Salakhutdinov has authored 13 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Russ R. Salakhutdinov’s work include Domain Adaptation and Few-Shot Learning (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Topic Modeling (3 papers). Russ R. Salakhutdinov is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Topic Modeling (3 papers). Russ R. Salakhutdinov collaborates with scholars based in United States, China and Canada. Russ R. Salakhutdinov's co-authors include Barnabás Póczos, Manzil Zaheer, Siamak Ravanbakhsh, Alexander J. Smola, Satwik Kottur, Zihang Dai, William W. Cohen, Fan Yang, Zhilin Yang and Eric P. Xing and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.