Hossein Mobahi

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

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Publications

Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael Curtis Mozer
On the Foundations of Shortcut Learning. ICLR (2024)
Yann N. Dauphin, Atish Agarwala, Hossein Mobahi
Neglected Hessian component explains mysteries in Sharpness regularization. CoRR (2024)
Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
On student-teacher deviations in distillation: does it pay to disobey? NeurIPS (2023)
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)
Katherine L. Hermann, Hossein Mobahi, Thomas Fel, Michael C. Mozer
On the Foundations of Shortcut Learning. CoRR (2023)
Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
Sharpness-Aware Minimization Leads to Low-Rank Features. NeurIPS (2023)
Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
Sharpness-Aware Minimization Leads to Low-Rank Features. CoRR (2023)
Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
On student-teacher deviations in distillation: does it pay to disobey? CoRR (2023)
Dara Bahri, Hossein Mobahi, Yi Tay
Sharpness-Aware Minimization Improves Language Model Generalization. ACL (1) (2022)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. CoRR (2021)
Chulhee Yun, Shankar Krishnan, Hossein Mobahi
A unifying view on implicit bias in training linear neural networks. ICLR (2021)
Dara Bahri, Hossein Mobahi, Yi Tay
Sharpness-Aware Minimization Improves Language Model Generalization. CoRR (2021)
Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
Sharpness-aware Minimization for Efficiently Improving Generalization. ICLR (2021)
Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
Sharpness-Aware Minimization for Efficiently Improving Generalization. CoRR (2020)
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)
Chulhee Yun, Shankar Krishnan, Hossein Mobahi
A Unifying View on Implicit Bias in Training Linear Neural Networks. CoRR (2020)
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
Fantastic Generalization Measures and Where to Find Them. ICLR (2020)
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 (2020)
Calvin Luo, Hossein Mobahi, Samy Bengio
Data Augmentation via Structured Adversarial Perturbations. CoRR (2020)
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
Self-Distillation Amplifies Regularization in Hilbert Space. NeurIPS (2020)
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
Self-Distillation Amplifies Regularization in Hilbert Space. CoRR (2020)
Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio
Predicting the Generalization Gap in Deep Networks with Margin Distributions. ICLR (Poster) (2019)
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
Fantastic Generalization Measures and Where to Find Them. CoRR (2019)
Vighnesh Birodkar, Hossein Mobahi, Samy Bengio
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. CoRR (2019)
Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio
A Closed-Form Learned Pooling for Deep Classification Networks. CoRR (2019)
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
Large Margin Deep Networks for Classification. NeurIPS (2018)
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
Large Margin Deep Networks for Classification. CoRR (2018)
Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio
Predicting the Generalization Gap in Deep Networks with Margin Distributions. CoRR (2018)
Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi
Homotopy Analysis for Tensor PCA. COLT (2017)
Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi
Homotopy Method for Tensor Principal Component Analysis. CoRR (2016)
Hossein Mobahi
Training Recurrent Neural Networks by Diffusion. CoRR (2016)
Hossein Mobahi, Stefano Soatto
A Theory of Local Matching: SIFT and Beyond. CoRR (2016)
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio
Learning with a Wasserstein Loss. CoRR (2015)
Hossein Mobahi, John W. Fisher III
A Theoretical Analysis of Optimization by Gaussian Continuation. AAAI (2015)
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso A. Poggio
Learning with a Wasserstein Loss. NIPS (2015)
Tianfan Xue, Hossein Mobahi, Frédo Durand, William T. Freeman
The aperture problem for refractive motion. CVPR (2015)
Hossein Mobahi, Ce Liu, William T. Freeman
A Compositional Model for Low-Dimensional Image Set Representation. CVPR (2014)
Hossein Mobahi, John W. Fisher III
Coarse-to-Fine Minimization of Some Common Nonconvexities. EMMCVPR (2014)
Hossein Mobahi, John W. Fisher III
On the Link between Gaussian Homotopy Continuation and Convex Envelopes. EMMCVPR (2014)
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) (2012)
Hossein Mobahi, C. Lawrence Zitnick, Yi Ma
Seeing through the blur. CVPR (2012)
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) (2011)
Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma
Holistic 3D reconstruction of urban structures from low-rank textures. ICCV Workshops (2011)
Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma
Segmentation of Natural Images by Texture and Boundary Compression CoRR (2010)
Hossein Mobahi, Ronan Collobert, Jason Weston
Deep learning from temporal coherence in video. ICML (2009)
Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma
Natural Image Segmentation with Adaptive Texture and Boundary Encoding. ACCV (1) (2009)
Hossein Mobahi, Shankar R. Rao, Yi Ma
Learning Topology of Curves with Application to Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications (2009)
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma
Face recognition with contiguous occlusion using markov random fields. ICCV (2009)
Hossein Mobahi, Shankar R. Rao, Yi Ma
Data-driven image completion by image patch subspaces. PCS (2009)
Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
A Biologically Inspired Method for Conceptual Imitation Using Reinforcement Learning. Appl. Artif. Intell. 21 (3) (2007)
Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Swarm contours: A fast self-organization approach for snake initialization. Complex. 12 (1) (2006)
Hossein Mobahi, Karrie G. Karahalios
HCI Applications for aiding children with mental disorders. ACM Crossroads 12 (2) (2005)
Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Concept Oriented Imitation Towards Verbal Human-Robot Interaction. ICRA (2005)
Hossein Mobahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Fast initialization of active contours. IROS (2004)
Hossein Mobahi, Shahin Ansari
Fuzzy perception, emotion and expression for interactive robots. SMC (2003)