Hossein Mobahi

According to our database, Hossein Mobahi authored at least 45 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neglected Hessian component explains mysteries in Sharpness regularization.

Yann N. Dauphin, Atish Agarwala, Hossein Mobahi

CoRR, 2024

On the Foundations of Shortcut Learning.

Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Low-Rank Simplicity Bias in Deep Networks.

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

Trans. Mach. Learn. Res., 2023

On student-teacher deviations in distillation: does it pay to disobey?

Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sharpness-Aware Minimization Leads to Low-Rank Features.

Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Sharpness-Aware Minimization Improves Language Model Generalization.

Dara Bahri, Hossein Mobahi, Yi Tay

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A unifying view on implicit bias in training linear neural networks.

Chulhee Yun, Shankar Krishnan, Hossein Mobahi

Proceedings of the 9th International Conference on Learning Representations, 2021

Sharpness-aware Minimization for Efficiently Improving Generalization.

Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.

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

CoRR, 2020

Data Augmentation via Structured Adversarial Perturbations.

Calvin Luo, Hossein Mobahi, Samy Bengio

CoRR, 2020

Self-Distillation Amplifies Regularization in Hilbert Space.

Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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, Hossein Mobahi, Behnam Neyshabur, Samy Bengio

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Fantastic Generalization Measures and Where to Find Them.

Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Closed-Form Learned Pooling for Deep Classification Networks.

Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio

CoRR, 2019

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

Vighnesh Birodkar, Hossein Mobahi, Samy Bengio

CoRR, 2019

Predicting the Generalization Gap in Deep Networks with Margin Distributions.

Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Large Margin Deep Networks for Classification.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Homotopy Analysis for Tensor PCA.

Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi

Proceedings of the 30th Conference on Learning Theory, 2017

2016

A Theory of Local Matching: SIFT and Beyond.

Hossein Mobahi, Stefano Soatto

CoRR, 2016

Training Recurrent Neural Networks by Diffusion.

Hossein Mobahi

CoRR, 2016

Homotopy Method for Tensor Principal Component Analysis.

Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi

CoRR, 2016

2015

Learning with a Wasserstein Loss.

Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The aperture problem for refractive motion.

Tianfan Xue, Hossein Mobahi, Frédo Durand, William T. Freeman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Theoretical Analysis of Optimization by Gaussian Continuation.

Hossein Mobahi, John W. Fisher III

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Coarse-to-Fine Minimization of Some Common Nonconvexities.

Hossein Mobahi, John W. Fisher III

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

On the Link between Gaussian Homotopy Continuation and Convex Envelopes.

Hossein Mobahi, John W. Fisher III

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

A Compositional Model for Low-Dimensional Image Set Representation.

Hossein Mobahi, Ce Liu, William T. Freeman

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

Deep Learning via Semi-supervised Embedding.

Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Optimization by Gaussian smoothing with application to geometric alignment

Hossein Mobahi

PhD thesis, 2012

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation.

Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Seeing through the blur.

Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Segmentation of Natural Images by Texture and Boundary Compression.

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

Int. J. Comput. Vis., 2011

Holistic 3D reconstruction of urban structures from low-rank textures.

Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009

Data-driven image completion by image patch subspaces.

Hossein Mobahi, Shankar R. Rao, Yi Ma

Proceedings of the 2009 Picture Coding Symposium, 2009

Deep learning from temporal coherence in video.

Hossein Mobahi, Ronan Collobert, Jason Weston

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Face recognition with contiguous occlusion using markov random fields.

Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Natural Image Segmentation with Adaptive Texture and Boundary Encoding.

Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma

Proceedings of the Computer Vision, 2009

Learning Topology of Curves with Application to Clustering.

Hossein Mobahi, Shankar R. Rao, Yi Ma

Proceedings of the Manifold Learning and Its Applications, 2009

2007

A Biologically Inspired Method for Conceptual Imitation Using Reinforcement Learning.

Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

Appl. Artif. Intell., 2007

2006

Swarm contours: A fast self-organization approach for snake initialization.

Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

Complex., 2006

2005

HCI Applications for aiding children with mental disorders.

Hossein Mobahi, Karrie G. Karahalios

ACM Crossroads, 2005

Concept Oriented Imitation Towards Verbal Human-Robot Interaction.

Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004

Fast initialization of active contours.

Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Peak stick RBF network for online system identification.

Hossein Mobahi, Farrokh Janabi-Sharifi

Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

2003

Fuzzy perception, emotion and expression for interactive robots.

Hossein Mobahi, Shahin Ansari

Proceedings of the IEEE International Conference on Systems, 2003