Hossein Mobahi
I am a Research Scientist in the Machine Perception team at Google since May 2016. Prior to that, I was a Postdoctoral Researcher in Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, where I was privileged to work with Bill Freeman and John Fisher.
I am broadly interested in Artificial Intelligence. Specifically my research lies at the intersection of Computer Vision, Machine Learning, and Optimization. My work is often guided by mathematical principles.
I graduated from University of Illinois at Urbana-Champaign (UIUC) with a PhD in Computer Science, where I was fortunate to be supervised by Prof. Yi Ma.
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Google
Sharpness-Aware Minimization Improves Language Model Generalization
Yi Tay
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 7360-7371
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning
Yiding Jiang
Parth Natekar
Manik Sharma
Sumukh K. Aithal
Dhruva Kashyap
Natarajan Subramanyam
Carlos Lassance
Daniel M. Roy
Gintare Karolina Dziugaite
Suriya Gunasekar
Isabelle Guyon
Pierre Foret
Scott Yak i
Behnam Neyshabur
Samy Bengio
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR (2021)
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Yiding Jiang
Pierre Foret
Scott Yak
Daniel M. Roy
Gintare Karolina Dziugaite
Samy Bengio
Suriya Gunasekar
Isabelle Guyon
Behnam Neyshabur
arXiv (2020)
Self-Distillation Amplifies Regularization in Hilbert Space
Mehrdad Farajtabar
Peter Bartlett
Neural Information Processing Systems (NeurIPS) (2020)
