Mobahi, Hossein

23 publications

ICML 2025 Avoiding Spurious Sharpness Minimization Broadens Applicability of SAM Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann Dauphin

NeurIPS 2024 Neglected Hessian Component Explains Mysteries in Sharpness Regularization Yann N. Dauphin, Atish Agarwala, Hossein Mobahi

ICLR 2024 On the Foundations of Shortcut Learning Katherine Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer

ICLRW 2024 Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics Kaitlin Zareno, Jarett Dewbury, Siamak Sorooshyari, Hossein Mobahi, Loza F. Tadesse

NeurIPS 2023 On Student-Teacher Deviations in Distillation: Does It Pay to Disobey? Vaishnavh Nagarajan, Aditya K Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

NeurIPS 2023 Sharpness-Aware Minimization Leads to Low-Rank Features Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

TMLR 2023 The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

NeurIPSW 2022 Trajectory Ensembling for Fine Tuning - Performance Gains Without Modifying Training Louise Anderson-Conway, Vighnesh Birodkar, Saurabh Singh, Hossein Mobahi, Alexander A Alemi

ICLR 2021 A Unifying View on Implicit Bias in Training Linear Neural Networks Chulhee Yun, Shankar Krishnan, Hossein Mobahi

NeurIPSW 2021 An Empirical Study of Pre-Trained Vision Models on Out-of-Distribution Generalization Yaodong Yu, Heinrich Jiang, Dara Bahri, Hossein Mobahi, Seungyeon Kim, Ankit Singh Rawat, Andreas Veit, Yi Ma

ICLR 2021 Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur

ICLR 2020 Fantastic Generalization Measures and Where to Find Them Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio

NeurIPS 2020 Self-Distillation Amplifies Regularization in Hilbert Space Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett

ICLR 2019 Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio

NeurIPS 2018 Large Margin Deep Networks for Classification Gamaleldin Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio

COLT 2017 Homotopy Analysis for Tensor PCA Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi

AAAI 2015 A Theoretical Analysis of Optimization by Gaussian Continuation Hossein Mobahi, John W. Fisher Iii

NeurIPS 2015 Learning with a Wasserstein Loss Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya, Tomaso A Poggio

CVPR 2015 The Aperture Problem for Refractive Motion Tianfan Xue, Hossein Mobahi, Fredo Durand, William T. Freeman

CVPR 2014 A Compositional Model for Low-Dimensional Image Set Representation Hossein Mobahi, Ce Liu, William T. Freeman

CVPR 2012 Seeing Through the Blur Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

ICML 2009 Deep Learning from Temporal Coherence in Video Hossein Mobahi, Ronan Collobert, Jason Weston

ICCV 2009 Face Recognition with Contiguous Occlusion Using Markov Random Fields Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma