Sledovat
Behnam Neyshabur
Behnam Neyshabur
Senior Staff Research Scientist, Google
E-mailová adresa ověřena na: google.com - Domovská stránka
Název
Citace
Citace
Rok
Exploring generalization in deep learning
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro
Advances in Neural Information Processing Systems, 2017
8262017
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
4652018
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
B Neyshabur, S Bhojanapalli, N Srebro
International Conference on Learning Representations, 2018
4192018
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
4132015
Norm-Based Capacity Control in Neural Networks
B Neyshabur, R Tomioka, N Srebro
Conference on Learning Theory, 1376–1401, 2015
4102015
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
3892019
Global Optimality of Local Search for Low Rank Matrix Recovery
S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 2016
3522016
Implicit regularization in matrix factorization
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems 30, 2017
2822017
Sharpness-Aware Minimization for Efficiently Improving Generalization
P Foret, A Kleiner, H Mobahi, B Neyshabur
International Conference on Learning Representations, 2021
2592021
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
B Neyshabur, RR Salakhutdinov, N Srebro
Advances in Neural Information Processing Systems, 2413-2421, 2015
2412015
Fantastic Generalization Measures and Where to Find Them
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio
International Conference on Learning Representations, 2020
2362020
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
1852013
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
1822018
On Symmetric and Asymmetric LSHs for Inner Product Search
B Neyshabur, N Srebro
The 32nd International Conference on Machine Learning, 1926–1934, 2015
1712015
What is being transferred in transfer learning?
B Neyshabur, H Sedghi, C Zhang
Advances in Neural Information Processing Systems, 2020
1162020
Corralling a band of bandit algorithms
A Agarwal, H Luo, B Neyshabur, RE Schapire
Conference on Learning Theory, 2017
1092017
Geometry of optimization and implicit regularization in deep learning
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro
arXiv preprint arXiv:1705.03071, 2017
1072017
Implicit regularization in deep learning
B Neyshabur
PhD Thesis, 2017
882017
Stabilizing GAN training with multiple random projections
B Neyshabur, S Bhojanapalli, A Chakrabarti
arXiv preprint arXiv:1705.07831, 2017
712017
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
682013
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20