Hossein Mobahi

According to our database1, Hossein Mobahi authored at least 44 papers between 2003 and 2024.

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Bibliography

2024
Neglected Hessian component explains mysteries in Sharpness regularization.
CoRR, 2024

2023
The Low-Rank Simplicity Bias in Deep Networks.
Trans. Mach. Learn. Res., 2023

On the Foundations of Shortcut Learning.
CoRR, 2023

On student-teacher deviations in distillation: does it pay to disobey?
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.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

Sharpness-aware Minimization for Efficiently Improving Generalization.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.
CoRR, 2020

Data Augmentation via Structured Adversarial Perturbations.
CoRR, 2020

Self-Distillation Amplifies Regularization in Hilbert Space.
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.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Fantastic Generalization Measures and Where to Find Them.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Closed-Form Learned Pooling for Deep Classification Networks.
CoRR, 2019

Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need.
CoRR, 2019

Predicting the Generalization Gap in Deep Networks with Margin Distributions.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Large Margin Deep Networks for Classification.
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.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
A Theory of Local Matching: SIFT and Beyond.
CoRR, 2016

Training Recurrent Neural Networks by Diffusion.
CoRR, 2016

Homotopy Method for Tensor Principal Component Analysis.
CoRR, 2016

2015
Learning with a Wasserstein Loss.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Theoretical Analysis of Optimization by Gaussian Continuation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Coarse-to-Fine Minimization of Some Common Nonconvexities.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

On the Link between Gaussian Homotopy Continuation and Convex Envelopes.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

A Compositional Model for Low-Dimensional Image Set Representation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
Deep Learning via Semi-supervised Embedding.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Optimization by Gaussian smoothing with application to geometric alignment
PhD thesis, 2012

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Seeing through the blur.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Segmentation of Natural Images by Texture and Boundary Compression.
Int. J. Comput. Vis., 2011

Holistic 3D reconstruction of urban structures from low-rank textures.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009
Data-driven image completion by image patch subspaces.
Proceedings of the 2009 Picture Coding Symposium, 2009

Deep learning from temporal coherence in video.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Face recognition with contiguous occlusion using markov random fields.
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.
Proceedings of the Computer Vision, 2009

Learning Topology of Curves with Application to Clustering.
Proceedings of the Manifold Learning and Its Applications, 2009

2007
A Biologically Inspired Method for Conceptual Imitation Using Reinforcement Learning.
Appl. Artif. Intell., 2007

2006
Swarm contours: A fast self-organization approach for snake initialization.
Complex., 2006

2005
HCI Applications for aiding children with mental disorders.
ACM Crossroads, 2005

Concept Oriented Imitation Towards Verbal Human-Robot Interaction.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004
Fast initialization of active contours.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2003
Fuzzy perception, emotion and expression for interactive robots.
Proceedings of the IEEE International Conference on Systems, 2003


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