Behnam Neyshabur

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Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Hanie SedghiSenior Research Scientist, Google BrainVerified email at google.com
Hossein MobahiResearch Scientist @ GoogleVerified email at csail.mit.edu
Ryota TomiokaMicrosoft Research CambridgeVerified email at microsoft.com
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Yiding JiangPhD Student, Carnegie Mellon UniversityVerified email at google.com
Suriya GunasekarSenior Researcher, MSR RedmondVerified email at ttic.edu
Pierre ForetVerified email at berkeley.edu
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
Anders Johan AndreassenGoogleVerified email at google.com
Ethan DyerGoogle Research, Blueshift TeamVerified email at google.com
Rong GeDuke UniversityVerified email at cs.duke.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Somaye HashemifarColumbia UniversityVerified email at cumc.columbia.edu
Yuhuai(Tony) WuGoogle / StanfordVerified email at stanford.edu
Guy Gur-AriGoogleVerified email at ias.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Zhiyuan LiPostdoc, Stanford UniversityVerified email at stanford.edu

Behnam Neyshabur

Senior Staff Research Scientist, DeepMind

Verified email at google.com - Homepage

Deep Learning Generalization Machine Reasoning


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Exploring generalization in deep learning B Neyshabur, S Bhojanapalli, D McAllester, N Srebro Advances in Neural Information Processing Systems, 2017	1002	2017
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	547	2018
Sharpness-Aware Minimization for Efficiently Improving Generalization P Foret, A Kleiner, H Mobahi, B Neyshabur International Conference on Learning Representations, 2021	523	2021
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	511	2015
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks B Neyshabur, S Bhojanapalli, N Srebro International Conference on Learning Representations, 2018	495	2018
Norm-Based Capacity Control in Neural Networks B Neyshabur, R Tomioka, N Srebro Conference on Learning Theory, 1376–1401, 2015	489	2015
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	474	2019
Global Optimality of Local Search for Low Rank Matrix Recovery S Bhojanapalli, B Neyshabur, N Srebro Advances in Neural Information Processing Systems, 2016	378	2016
Fantastic Generalization Measures and Where to Find Them Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio International Conference on Learning Representations, 2020	355	2020
Implicit regularization in matrix factorization S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro Advances in Neural Information Processing Systems 30, 2017	349	2017
Path-SGD: Path-Normalized Optimization in Deep Neural Networks B Neyshabur, RR Salakhutdinov, N Srebro Advances in Neural Information Processing Systems, 2413-2421, 2015	266	2015
Predicting protein–protein interactions through sequence-based deep learning S Hashemifar, B Neyshabur, AA Khan, J Xu Bioinformatics 34 (17), i802-i810, 2018	232	2018
What is being transferred in transfer learning? B Neyshabur, H Sedghi, C Zhang Advances in Neural Information Processing Systems, 2020	227	2020
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	196	2013
On Symmetric and Asymmetric LSHs for Inner Product Search B Neyshabur, N Srebro The 32nd International Conference on Machine Learning, 1926–1934, 2015	188	2015
Corralling a band of bandit algorithms A Agarwal, H Luo, B Neyshabur, RE Schapire Conference on Learning Theory, 2017	134	2017
Geometry of optimization and implicit regularization in deep learning B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro arXiv preprint arXiv:1705.03071, 2017	127	2017
Implicit regularization in deep learning B Neyshabur PhD Thesis, 2017	116	2017
Understanding the failure modes of out-of-distribution generalization V Nagarajan, A Andreassen, B Neyshabur International Conference on Learning Representations, 2021	100	2021
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	99	2022

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