Articles with public access mandates - Shibani SanturkarLearn more
Available somewhere: 14
How does batch normalization help optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation
Adversarial examples are not bugs, they are features
A Ilyas, S Santurkar, D Tsipras, L Engstrom, B Tran, A Madry
Advances in neural information processing systems 32, 2019
Mandates: US National Science Foundation
Adversarially robust generalization requires more data
L Schmidt, S Santurkar, D Tsipras, K Talwar, A Madry
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation
Image synthesis with a single (robust) classifier
S Santurkar, A Ilyas, D Tsipras, L Engstrom, B Tran, A Madry
Advances in Neural Information Processing Systems 32, 2019
Mandates: US National Science Foundation
From imagenet to image classification: Contextualizing progress on benchmarks
D Tsipras, S Santurkar, L Engstrom, A Ilyas, A Madry
International Conference on Machine Learning, 9625-9635, 2020
Mandates: US National Science Foundation, US Department of Defense
A closer look at deep policy gradients
A Ilyas, L Engstrom, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
arXiv preprint arXiv:1811.02553, 2018
Mandates: US National Science Foundation
Leveraging sparse linear layers for debuggable deep networks
E Wong, S Santurkar, A Madry
International Conference on Machine Learning, 11205-11216, 2021
Mandates: US National Science Foundation, US Department of Defense
Editing a classifier by rewriting its prediction rules
S Santurkar, D Tsipras, M Elango, D Bau, A Torralba, A Madry
Advances in Neural Information Processing Systems 34, 23359-23373, 2021
Mandates: US National Science Foundation, US Department of Defense
Identifying statistical bias in dataset replication
L Engstrom, A Ilyas, S Santurkar, D Tsipras, J Steinhardt, A Madry
International Conference on Machine Learning, 2922-2932, 2020
Mandates: US National Science Foundation, US Department of Defense
Deep tensor convolution on multicores
D Budden, A Matveev, S Santurkar, SR Chaudhuri, N Shavit
Proceedings of the 34th International Conference on Machine Learning, 2017
Mandates: US National Science Foundation, US Office of the Director of National …
3db: A framework for debugging computer vision models
G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ...
Advances in Neural Information Processing Systems 35, 8498-8511, 2022
Mandates: US National Science Foundation, US Department of Defense
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance
S Santurkar, B Rajendran
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Mandates: Department of Science & Technology, India
Is a caption worth a thousand images? a study on representation learning
S Santurkar, Y Dubois, R Taori, P Liang, T Hashimoto
The Eleventh International Conference on Learning Representations, 2023
Mandates: US National Science Foundation
Implementation matters in deep policy gradients: A case study on PPO and TRPO [J]
L Engstrom, A Ilyas, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
arXiv preprint arXiv:2005.12729, 2020
Mandates: US National Science Foundation
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