Concepedia

Hongseok Namkoong

HN

Statistics

Publications

19

Citations

2.4K

H-Index

18

Active since

2016

Affiliations

Stanford University(Current)

Columbia University

Brain (Germany)

Google (United States)

Italian Institute of Technology

Hongseok Namkoong is an author at Stanford University specializing in machine learning, computer science, and optimization for machine learning.

ORCID

Publications per year

2016–2025

19

Publications

19

Robust fine-tuning of zero-shot models

Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 367 citations

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Generalizing to Unseen Domains via Adversarial Data Augmentation

Riccardo Volpi, Hongseok Namkoong, Ozan Şener et al. · arXiv (Cornell University) · 2018 · 366 citations · Full text

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Certifying Some Distributional Robustness with Principled Adversarial Training

Aman Sinha, Hongseok Namkoong, Riccardo Volpi et al. · arXiv (Cornell University) · 2017 · 346 citations · Full text

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Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre et al. · arXiv (Cornell University) · 2022 · 206 citations · Full text

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Generalizing to Unseen Domains via Adversarial Data Augmentation

Riccardo Volpi, Hongseok Namkoong, Ozan Şener et al. · Neural Information Processing Systems · 2018 · 200 citations

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1–5 of 19