Kamu erişimi zorunlu olan makaleler - Andrew IlyasDaha fazla bilgi edinin
Bir yerde sunuluyor: 15
How Does Batch Normalization Help Optimization?
S Santurkar, D Tsipras, A Ilyas, A Madry
Advances in Neural Information Processing Systems, 2018
Zorunlu olanlar: 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, 125-136, 2019
Zorunlu olanlar: US National Science Foundation
Implementation matters in deep rl: A case study on ppo and trpo
L Engstrom, A Ilyas, S Santurkar, D Tsipras, F Janoos, L Rudolph, ...
International conference on learning representations, 2019
Zorunlu olanlar: US National Science Foundation
Do adversarially robust imagenet models transfer better?
H Salman, A Ilyas, L Engstrom, A Kapoor, A Madry
Advances in Neural Information Processing Systems 33, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense
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
Zorunlu olanlar: 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
Zorunlu olanlar: 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, ...
International Conference on Learning Representations, 2018
Zorunlu olanlar: US National Science Foundation
Unadversarial examples: Designing objects for robust vision
H Salman, A Ilyas, L Engstrom, S Vemprala, A Madry, A Kapoor
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Zorunlu olanlar: US National Science Foundation, US Department of Defense, Banking Foundation …
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
Zorunlu olanlar: US National Science Foundation, US Department of Defense
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
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Modeldiff: A framework for comparing learning algorithms
H Shah, SM Park, A Ilyas, A Madry
International Conference on Machine Learning, 30646-30688, 2023
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Rethinking backdoor attacks
A Khaddaj, G Leclerc, A Makelov, K Georgiev, H Salman, A Ilyas, A Madry
International Conference on Machine Learning, 16216-16236, 2023
Zorunlu olanlar: US National Science Foundation, US Department of Defense
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples
A Ilyas, E Zampetakis, C Daskalakis
International Conference on Artificial Intelligence and Statistics, 4463-4473, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense
What makes a good fisherman? linear regression under self-selection bias
Y Cherapanamjeri, C Daskalakis, A Ilyas, M Zampetakis
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1699-1712, 2023
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Estimation of standard auction models
Y Cherapanamjeri, C Daskalakis, A Ilyas, M Zampetakis
Proceedings of the 23rd ACM Conference on Economics and Computation, 602-603, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Energy
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