Hossein Mobahi
17 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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The Questioner
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Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(14)
Deep Learning
(5)
Mathematics & Optimization
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Core AI
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Resources & Methods
(2)
Computer Science
(1)
Keywords
sharpness-aware minimization
(4)
neural network optimization
(3)
gradient descent
(2)
neural network
(2)
implicit bia
(2)
generalization bound
(2)
deep network
(2)
decision boundary
(2)
knowledge distillation
(2)
adversarial robustness
(1)
multi-label learning
(1)
computer vision
(1)
subspace learning
(1)
automated planning
(1)
feature learning
(1)
neural network pruning
(1)
non-convex optimization
(1)
image generation
(1)
shortcut learning
(1)
few-shot learning
(1)
Papers
Avoiding spurious sharpness minimization broadens applicability of SAM
ICML 2025
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
Neglected Hessian component explains mysteries in sharpness regularization
NeurIPS 2024
On the Foundations of Shortcut Learning
ICLR 2024
On student-teacher deviations in distillation: does it pay to disobey?
NeurIPS 2023
Sharpness-Aware Minimization Leads to Low-Rank Features
NeurIPS 2023
Sharpness-Aware Minimization Improves Language Model Generalization
ACL 2022
A unifying view on implicit bias in training linear neural networks
ICLR 2021
Sharpness-aware Minimization for Efficiently Improving Generalization
ICLR 2021
Fantastic Generalization Measures and Where to Find Them
ICLR 2020
Self-Distillation Amplifies Regularization in Hilbert Space
NeurIPS 2020
Predicting the Generalization Gap in Deep Networks with Margin Distributions
ICLR 2019
Large Margin Deep Networks for Classification
NeurIPS 2018
Homotopy Analysis for Tensor PCA
COLT 2017
Learning with a Wasserstein Loss
NeurIPS 2015
The Aperture Problem for Refractive Motion
CVPR 2015
A Compositional Model for Low-Dimensional Image Set Representation
CVPR 2014