← Authors

Hossein Mobahi

17 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (25) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (11) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (9) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (62)

Conferences

NIPS (6) ICLR (5) CVPR (2) ACL (1) COLT (1) EMNLP (1) ICML (1)

Top co-authors

Samy Bengio (3) Dilip Krishnan (3) William T. Freeman (2) Atish Agarwala (2) Dara Bahri (2) Yuan Deng (1) Thomas FEL (1) Tomaso A Poggio (1) Zifeng Wang (1) Sanjiv Kumar (1)

Keywords

neural network optimization (2) sharpness-aware minimization (2) knowledge distillation (2) neural network pruning (1) image generation (1) nonconvex optimization (1) few-shot learning (1) multi-label learning (1) subspace learning (1) automated planning (1) motion estimation (1) optimal transport (1) computer vision (1) adversarial robustness (1) statistical learning (1) signal processing (1) hilbert space (1) gradient descent (1) large margin classifier (1) wasserstein distance (1)

Papers

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025
Avoiding spurious sharpness minimization broadens applicability of SAM ICML 2025
On the Foundations of Shortcut Learning ICLR 2024
Neglected Hessian component explains mysteries in sharpness regularization NIPS 2024
On student-teacher deviations in distillation: does it pay to disobey? NIPS 2023
Sharpness-Aware Minimization Leads to Low-Rank Features NIPS 2023
Sharpness-Aware Minimization Improves Language Model Generalization ACL 2022
Sharpness-aware Minimization for Efficiently Improving Generalization ICLR 2021
A unifying view on implicit bias in training linear neural networks ICLR 2021
Self-Distillation Amplifies Regularization in Hilbert Space NIPS 2020
Fantastic Generalization Measures and Where to Find Them ICLR 2020
Predicting the Generalization Gap in Deep Networks with Margin Distributions ICLR 2019
Large Margin Deep Networks for Classification NIPS 2018
Homotopy Analysis for Tensor PCA COLT 2017
Learning with a Wasserstein Loss NIPS 2015
The Aperture Problem for Refractive Motion CVPR 2015
A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014