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Hossein Mobahi

Google Research

Sharpness-Aware Minimization Improves Language Model Generalization

Oct 16, 2021
Dara Bahri, Hossein Mobahi, Yi Tay

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The Low-Rank Simplicity Bias in Deep Networks

Mar 18, 2021
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

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NeurIPS 2020 Competition: Predicting Generalization in Deep Learning

Dec 14, 2020
Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur

* 20 pages, 2 figures. Accepted for NeurIPS 2020 Competitions Track. Lead organizer: Yiding Jiang 

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Data Augmentation via Structured Adversarial Perturbations

Nov 05, 2020
Calvin Luo, Hossein Mobahi, Samy Bengio

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A Unifying View on Implicit Bias in Training Linear Neural Networks

Oct 06, 2020
Chulhee Yun, Shankar Krishnan, Hossein Mobahi

* 40 pages, 6 figures 

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Sharpness-Aware Minimization for Efficiently Improving Generalization

Oct 03, 2020
Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur

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Self-Distillation Amplifies Regularization in Hilbert Space

Feb 25, 2020
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett

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Fantastic Generalization Measures and Where to Find Them

Dec 04, 2019
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio

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A Closed-Form Learned Pooling for Deep Classification Networks

Jun 10, 2019
Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio

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Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need

Jan 29, 2019
Vighnesh Birodkar, Hossein Mobahi, Samy Bengio

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Predicting the Generalization Gap in Deep Networks with Margin Distributions

Sep 28, 2018
Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio

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Large Margin Deep Networks for Classification

Mar 15, 2018
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio

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Homotopy Analysis for Tensor PCA

Jun 14, 2017
Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi

* Accepted to COLT 2017 

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Training Recurrent Neural Networks by Diffusion

Feb 04, 2016
Hossein Mobahi

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A Theory of Local Matching: SIFT and Beyond

Jan 19, 2016
Hossein Mobahi, Stefano Soatto

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Learning with a Wasserstein Loss

Dec 30, 2015
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso Poggio

* NIPS 2015; v3 updates Algorithm 1 and Equations 6, 8 

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Segmentation of Natural Images by Texture and Boundary Compression

Jun 18, 2010
Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma

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