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Noah Golmant
Noah Golmant
Unknown affiliation
Verified email at berkeley.edu - Homepage
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Cited by
Cited by
Year
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4102018
Artificial intelligence safety and security
RV Yampolskiy
CRC Press, 2018
1152018
On the computational inefficiency of large batch sizes for stochastic gradient descent
N Golmant, N Vemuri, Z Yao, V Feinberg, A Gholami, K Rothauge, ...
arXiv preprint arXiv:1811.12941, 2018
792018
pytorch-hessian-eigenthings: Efficient PyTorch Hessian Eigendecomposition
N Golmant, Z Yao, A Gholami, M Mahoney, J Gonzalez
URL https://github.com/noahgolmant/pytorch-hessian-eigenthings, 2018
16*2018
Transferability of adversarial attacks in model-agnostic meta-learning
R Edmunds, N Golmant, V Ramasesh, P Kuznetsov, P Patil, R Puri
Deep Learning and Security Workshop (DLSW) in Singapore, 2017
132017
On the convergence of model-agnostic meta-learning
N Golmant
22019
Adversarial machine learning
P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih
Artificial Intelligence Safety and Security, 235-248, 2018
22018
Kontradyktoryjne uczenie maszynowe
P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih
Napędy i Sterowanie 23 (7/8), 80-89, 2021
2021
An Empirical Exploration of Gradient Correlations in Deep Learning
D Rothchild, R Fox, N Golmant, J Gonzalez, M Mahoney, K Rothauge, ...
Derivations of the Univariate and Multivariate Normal Density
A Francis, N Golmant
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Articles 1–10