Hossein Mobahi
Hossein Mobahi
Research Scientist @ Google
Verified email at - Homepage
Cited by
Cited by
Deep learning via semi-supervised embedding
J Weston, F Ratle, R Collobert
Proceedings of the 25th international conference on Machine learning, 1168-1175, 2008
Toward a practical face recognition system: Robust alignment and illumination by sparse representation
A Wagner, J Wright, A Ganesh, Z Zhou, H Mobahi, Y Ma
IEEE transactions on pattern analysis and machine intelligence 34 (2), 372-386, 2011
Sharpness-aware minimization for efficiently improving generalization
P Foret, A Kleiner, H Mobahi, B Neyshabur
arXiv preprint arXiv:2010.01412, 2020
Learning with a Wasserstein loss
C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio
Advances in neural information processing systems 28, 2015
Deep learning from temporal coherence in video
H Mobahi, R Collobert, J Weston
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Fantastic Generalization Measures and Where to Find Them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
Large margin deep networks for classification
G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio
Advances in neural information processing systems 31, 2018
Face recognition with contiguous occlusion using markov random fields
Z Zhou, A Wagner, H Mobahi, J Wright, Y Ma
2009 IEEE 12th international conference on computer vision, 1050-1057, 2009
Segmentation of natural images by texture and boundary compression
H Mobahi, SR Rao, AY Yang, SS Sastry, Y Ma
International journal of computer vision 95 (1), 86-98, 2011
Predicting the generalization gap in deep networks with margin distributions
Y Jiang, D Krishnan, H Mobahi, S Bengio
arXiv preprint arXiv:1810.00113, 2018
Natural image segmentation with adaptive texture and boundary encoding
SR Rao, H Mobahi, AY Yang, SS Sastry, Y Ma
Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010
Self-distillation amplifies regularization in hilbert space
H Mobahi, M Farajtabar, PL Bartlett
NeurIPS 2020, 2020
A Theoretical Analysis of Optimization by Gaussian Continuation
H Mobahi, JW Fisher III
AAAI, 2015
On the Link Between Gaussian Homotopy Continuation and Convex Envelopes
H Mobahi, JW Fisher III
Lecture Notes in Computer Science (EMMCVPR 2015), 2015
Holistic 3d reconstruction of urban structures from low-rank textures
H Mobahi, Z Zhou, AY Yang, Y Ma
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
A unifying view on implicit bias in training linear neural networks
C Yun, S Krishnan, H Mobahi
arXiv preprint arXiv:2010.02501, 2020
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
V Birodkar, H Mobahi, S Bengio
arXiv preprint arXiv:1901.11409, 2019
Training recurrent neural networks by diffusion
H Mobahi
arXiv preprint arXiv:1601.04114, 2016
Homotopy analysis for tensor PCA
A Anandkumar, Y Deng, R Ge, H Mobahi
Conference on Learning Theory, 79-104, 2017
The low-rank simplicity bias in deep networks
M Huh, H Mobahi, R Zhang, B Cheung, P Agrawal, P Isola
arXiv preprint arXiv:2103.10427, 2021
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