Behnam Neyshabur
Behnam Neyshabur
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
arXiv preprint arXiv:1706.08947, 2017
6662017
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
3832018
Norm-Based Capacity Control in Neural Networks
B Neyshabur, R Tomioka, N Srebro
Conference on Learning Theory, 1376–1401, 2015
3562015
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
B Neyshabur, S Bhojanapalli, N Srebro
International Conference on Learning Representations, 2018
3402018
Global Optimality of Local Search for Low Rank Matrix Recovery
S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 2016
3252016
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
3232015
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
307*2019
Implicit regularization in matrix factorization
S Gunasekar, B Woodworth, S Bhojanapalli, B Neyshabur, N Srebro
2018 Information Theory and Applications Workshop (ITA), 1-10, 2018
2252018
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
B Neyshabur, RR Salakhutdinov, N Srebro
Advances in Neural Information Processing Systems, 2413-2421, 2015
2242015
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
1712013
On Symmetric and Asymmetric LSHs for Inner Product Search
B Neyshabur, N Srebro
The 32nd International Conference on Machine Learning, 1926–1934, 2015
1572015
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
1352018
Fantastic Generalization Measures and Where to Find Them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
International Conference on Learning Representations, 2020
1292020
Geometry of optimization and implicit regularization in deep learning
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro
arXiv preprint arXiv:1705.03071, 2017
1012017
Corralling a band of bandit algorithms
A Agarwal, H Luo, B Neyshabur, RE Schapire
Conference on Learning Theory, 2017
832017
Sharpness-Aware Minimization for Efficiently Improving Generalization
P Foret, A Kleiner, H Mobahi, B Neyshabur
International Conference on Learning Representations, 2021
742021
Implicit regularization in deep learning
B Neyshabur
PhD Thesis, 2017
692017
The Power of Asymmetry in Binary Hashing
B Neyshabur, P Yadollahpour, N Srebro, R Salakhutdinov, Y Makarychev
Advances in Neural Information Processing Systems, 2823-2831, 2013
612013
Stabilizing GAN training with multiple random projections
B Neyshabur, S Bhojanapalli, A Chakrabarti
arXiv preprint arXiv:1705.07831, 2017
552017
What is being transferred in transfer learning?
B Neyshabur, H Sedghi, C Zhang
arXiv preprint arXiv:2008.11687, 2020
452020
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