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Sung Min Park
Sung Min Park
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Datamodels: Predicting predictions from training data
A Ilyas, SM Park, L Engstrom, G Leclerc, A Madry
International Conference on Machine Learning, 9525-9587, 2022
105*2022
Trak: Attributing model behavior at scale
SM Park, K Georgiev, A Ilyas, G Leclerc, A Madry
arXiv preprint arXiv:2303.14186, 2023
532023
FFCV: Accelerating training by removing data bottlenecks
G Leclerc, A Ilyas, L Engstrom, SM Park, H Salman, A Mądry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
53*2023
Structured learning of sum-of-submodular higher order energy functions
A Fix, T Joachims, SM Park, R Zabih
Proceedings of the IEEE International Conference on Computer Vision, 3104-3111, 2013
322013
A Data-Based Perspective on Transfer Learning
S Jain, H Salman, A Khaddaj, E Wong, SM Park, A Mądry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
302023
Modeldiff: A framework for comparing learning algorithms
H Shah, SM Park, A Ilyas, A Madry
International Conference on Machine Learning, 30646-30688, 2023
172023
Sparse PCA from sparse linear regression
G Bresler, SM Park, M Persu
Advances in Neural Information Processing Systems 31, 2018
112018
The journey, not the destination: How data guides diffusion models
K Georgiev, J Vendrow, H Salman, SM Park, A Madry
arXiv preprint arXiv:2312.06205, 2023
52023
On distinctive properties of universal perturbations
SM Park, KA Wei, K Xiao, J Li, A Madry
arXiv preprint arXiv:2112.15329, 2021
22021
On the equivalence of sparse statistical problems
SM Park
Massachusetts Institute of Technology, 2016
2016
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Articles 1–10