Sung Min Park
Sung Min Park
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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
Datamodels: Predicting predictions from training data
A Ilyas, SM Park, L Engstrom, G Leclerc, A Madry
International Conference on Machine Learning, 9525-9587, 2022
A data-based perspective on transfer learning
S Jain, H Salman, A Khaddaj, E Wong, SM Park, A Madry
arXiv preprint arXiv:2207.05739, 2022
Sparse PCA from sparse linear regression
G Bresler, SM Park, M Persu
Advances in Neural Information Processing Systems 31, 2018
ModelDiff: A Framework for Comparing Learning Algorithms
H Shah, SM Park, A Ilyas, A Madry
arXiv preprint arXiv:2211.12491, 2022
FFCV: Accelerating Training by Removing Data Bottlenecks
G Leclerc, A Ilyas, L Engstrom, SM Park, H Salman, A Madry
On distinctive properties of universal perturbations
SM Park, KA Wei, K Xiao, J Li, A Madry
arXiv preprint arXiv:2112.15329, 2021
On the equivalence of sparse statistical problems
SM Park
Massachusetts Institute of Technology, 2016
Non-robust Features through the Lens of Universal Perturbations
SM Park, KA Wei, KY Xiao, J Li, A Madry
A Unified Framework for Comparing Learning Algorithms
H Shah, SM Park, A Ilyas, A Madry
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 0
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