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Behnam Neyshabur
Behnam Neyshabur
Senior Staff Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Exploring generalization in deep learning
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro
Advances in Neural Information Processing Systems, 2017
9652017
Stronger generalization bounds for deep nets via a compression approach
S Arora, R Ge, B Neyshabur, Y Zhang
The 35th International Conference on Machine Learning, 2018
5242018
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
B Neyshabur, R Tomioka, N Srebro
International Conference on Learning Representations, 2015
4912015
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
B Neyshabur, S Bhojanapalli, N Srebro
International Conference on Learning Representations, 2018
4822018
Norm-Based Capacity Control in Neural Networks
B Neyshabur, R Tomioka, N Srebro
Conference on Learning Theory, 1376–1401, 2015
4672015
Sharpness-Aware Minimization for Efficiently Improving Generalization
P Foret, A Kleiner, H Mobahi, B Neyshabur
International Conference on Learning Representations, 2021
4602021
Towards understanding the role of over-parametrization in generalization of neural networks
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro
International Conference on Learning Representations, 2019
4522019
Global Optimality of Local Search for Low Rank Matrix Recovery
S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 2016
3732016
Implicit regularization in matrix factorization
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems 30, 2017
3282017
Fantastic Generalization Measures and Where to Find Them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
International Conference on Learning Representations, 2020
3262020
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
B Neyshabur, RR Salakhutdinov, N Srebro
Advances in Neural Information Processing Systems, 2413-2421, 2015
2622015
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
2222018
What is being transferred in transfer learning?
B Neyshabur, H Sedghi, C Zhang
Advances in Neural Information Processing Systems, 2020
2052020
NETAL: a new graph-based method for global alignment of protein–protein interaction networks
B Neyshabur, A Khadem, S Hashemifar, SS Arab
Bioinformatics 29 (13), 1654-1662, 2013
1942013
On Symmetric and Asymmetric LSHs for Inner Product Search
B Neyshabur, N Srebro
The 32nd International Conference on Machine Learning, 1926–1934, 2015
1862015
Corralling a band of bandit algorithms
A Agarwal, H Luo, B Neyshabur, RE Schapire
Conference on Learning Theory, 2017
1282017
Geometry of optimization and implicit regularization in deep learning
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro
arXiv preprint arXiv:1705.03071, 2017
1222017
Implicit regularization in deep learning
B Neyshabur
PhD Thesis, 2017
1102017
Understanding the failure modes of out-of-distribution generalization
V Nagarajan, A Andreassen, B Neyshabur
International Conference on Learning Representations, 2021
952021
Observational overfitting in reinforcement learning
X Song, Y Jiang, Y Du, B Neyshabur
International Conference on Learning Representations, 2020
842020
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