Mikhail Khodak

7 papers and 134 indexed citations i.

About

Mikhail Khodak has authored 7 papers that have received a total of 134 indexed citations. This includes 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Mikhail Khodak is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers) and collaborates with scholars based in United States and Israel. Mikhail Khodak's co-authors include Nikunj Saunshi, Sanjeev Arora, Ameet Talwalkar, Kiran Vodrahalli and Maria-Florina Balcan and has published in prestigious journals such as and

In The Last Decade

Rankless by CCL
2025