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Hossein Mobahi
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2020 – today
- 2024
- [c28]Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer:
On the Foundations of Shortcut Learning. ICLR 2024 - [i21]Yann N. Dauphin, Atish Agarwala, Hossein Mobahi:
Neglected Hessian component explains mysteries in Sharpness regularization. CoRR abs/2401.10809 (2024) - 2023
- [j6]Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c27]Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion:
Sharpness-Aware Minimization Leads to Low-Rank Features. NeurIPS 2023 - [c26]Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar:
On student-teacher deviations in distillation: does it pay to disobey? NeurIPS 2023 - [i20]Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar:
On student-teacher deviations in distillation: does it pay to disobey? CoRR abs/2301.12923 (2023) - [i19]Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion:
Sharpness-Aware Minimization Leads to Low-Rank Features. CoRR abs/2305.16292 (2023) - [i18]Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer:
On the Foundations of Shortcut Learning. CoRR abs/2310.16228 (2023) - 2022
- [c25]Dara Bahri, Hossein Mobahi, Yi Tay:
Sharpness-Aware Minimization Improves Language Model Generalization. ACL (1) 2022: 7360-7371 - 2021
- [c24]Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur:
Sharpness-aware Minimization for Efficiently Improving Generalization. ICLR 2021 - [c23]Chulhee Yun, Shankar Krishnan, Hossein Mobahi:
A unifying view on implicit bias in training linear neural networks. ICLR 2021 - [i17]Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. CoRR abs/2103.10427 (2021) - [i16]Dara Bahri, Hossein Mobahi, Yi Tay:
Sharpness-Aware Minimization Improves Language Model Generalization. CoRR abs/2110.08529 (2021) - 2020
- [c22]Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. ICLR 2020 - [c21]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:
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) 2020: 170-190 - [c20]Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett:
Self-Distillation Amplifies Regularization in Hilbert Space. NeurIPS 2020 - [i15]Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett:
Self-Distillation Amplifies Regularization in Hilbert Space. CoRR abs/2002.05715 (2020) - [i14]Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur:
Sharpness-Aware Minimization for Efficiently Improving Generalization. CoRR abs/2010.01412 (2020) - [i13]Chulhee Yun, Shankar Krishnan, Hossein Mobahi:
A Unifying View on Implicit Bias in Training Linear Neural Networks. CoRR abs/2010.02501 (2020) - [i12]Calvin Luo, Hossein Mobahi, Samy Bengio:
Data Augmentation via Structured Adversarial Perturbations. CoRR abs/2011.03010 (2020) - [i11]Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur:
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR abs/2012.07976 (2020)
2010 – 2019
- 2019
- [c19]Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. ICLR (Poster) 2019 - [i10]Vighnesh Birodkar, Hossein Mobahi, Samy Bengio:
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. CoRR abs/1901.11409 (2019) - [i9]Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
A Closed-Form Learned Pooling for Deep Classification Networks. CoRR abs/1906.03808 (2019) - [i8]Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. CoRR abs/1912.02178 (2019) - 2018
- [c18]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. NeurIPS 2018: 850-860 - [i7]Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio:
Large Margin Deep Networks for Classification. CoRR abs/1803.05598 (2018) - [i6]Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. CoRR abs/1810.00113 (2018) - 2017
- [c17]Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi:
Homotopy Analysis for Tensor PCA. COLT 2017: 79-104 - 2016
- [i5]Hossein Mobahi:
Training Recurrent Neural Networks by Diffusion. CoRR abs/1601.04114 (2016) - [i4]Hossein Mobahi, Stefano Soatto:
A Theory of Local Matching: SIFT and Beyond. CoRR abs/1601.05116 (2016) - [i3]Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi:
Homotopy Method for Tensor Principal Component Analysis. CoRR abs/1610.09322 (2016) - 2015
- [c16]Hossein Mobahi, John W. Fisher III:
A Theoretical Analysis of Optimization by Gaussian Continuation. AAAI 2015: 1205-1211 - [c15]Tianfan Xue, Hossein Mobahi, Frédo Durand, William T. Freeman:
The aperture problem for refractive motion. CVPR 2015: 3386-3394 - [c14]Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio:
Learning with a Wasserstein Loss. NIPS 2015: 2053-2061 - [i2]Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio:
Learning with a Wasserstein Loss. CoRR abs/1506.05439 (2015) - 2014
- [c13]Hossein Mobahi, Ce Liu, William T. Freeman:
A Compositional Model for Low-Dimensional Image Set Representation. CVPR 2014: 1322-1329 - [c12]Hossein Mobahi, John W. Fisher III:
On the Link between Gaussian Homotopy Continuation and Convex Envelopes. EMMCVPR 2014: 43-56 - [c11]Hossein Mobahi, John W. Fisher III:
Coarse-to-Fine Minimization of Some Common Nonconvexities. EMMCVPR 2014: 71-84 - 2012
- [b1]Hossein Mobahi:
Optimization by Gaussian smoothing with application to geometric alignment. University of Illinois Urbana-Champaign, USA, 2012 - [j5]Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma:
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 372-386 (2012) - [c10]Hossein Mobahi, C. Lawrence Zitnick, Yi Ma:
Seeing through the blur. CVPR 2012: 1736-1743 - [p1]Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert:
Deep Learning via Semi-supervised Embedding. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 639-655 - 2011
- [j4]Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma:
Segmentation of Natural Images by Texture and Boundary Compression. Int. J. Comput. Vis. 95(1): 86-98 (2011) - [c9]Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma:
Holistic 3D reconstruction of urban structures from low-rank textures. ICCV Workshops 2011: 593-600 - 2010
- [i1]Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Segmentation of Natural Images by Texture and Boundary Compression. CoRR abs/1006.3679 (2010)
2000 – 2009
- 2009
- [c8]Hossein Mobahi, Shankar R. Rao, Yi Ma:
Learning Topology of Curves with Application to Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications 2009 - [c7]Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma:
Natural Image Segmentation with Adaptive Texture and Boundary Encoding. ACCV (1) 2009: 135-146 - [c6]Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma:
Face recognition with contiguous occlusion using markov random fields. ICCV 2009: 1050-1057 - [c5]Hossein Mobahi, Ronan Collobert, Jason Weston:
Deep learning from temporal coherence in video. ICML 2009: 737-744 - [c4]Hossein Mobahi, Shankar R. Rao, Yi Ma:
Data-driven image completion by image patch subspaces. PCS 2009: 1-4 - 2007
- [j3]Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
:
A Biologically Inspired Method for Conceptual Imitation Using Reinforcement Learning. Appl. Artif. Intell. 21(3): 155-183 (2007) - 2006
- [j2]Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Swarm contours: A fast self-organization approach for snake initialization. Complex. 12(1): 41-52 (2006) - 2005
- [j1]Hossein Mobahi, Karrie G. Karahalios:
HCI Applications for aiding children with mental disorders. ACM Crossroads 12(2): 3 (2005) - [c3]Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Concept Oriented Imitation Towards Verbal Human-Robot Interaction. ICRA 2005: 1495-1500 - 2004
- [c2]Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
Fast initialization of active contours. IROS 2004: 546-551 - 2003
- [c1]Hossein Mobahi, Shahin Ansari:
Fuzzy perception, emotion and expression for interactive robots. SMC 2003: 3918-3923
Coauthor Index
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last updated on 2024-07-30 21:41 CEST by the dblp team
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