Behnam Neyshabur - Concepedia

Author

Behnam Neyshabur

Toyota Technological Institute at Chicago

Also Known As

Behnam Neyshabur, Komarek, Paul, Neyshabur, Behnam, Qian, Yundi, Özyurt, Batuhan

Publications

6.7K

Citations

H-Index

Concepts

All Affiliations

Toyota Technological Institute at Chicago Google (United States)University of Toronto

About

Behnam Neyshabur is an author at Toyota Technological Institute at Chicago specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	31	45	5.1K
2	Language Studies	5	5	517
3	Business	2	2	348
4	Education	2	2	238
5	Management	1	1	21

Behnam Neyshabur

Publications

5.8K

Citations

H-Index

Page 1

	Year	Citations
Gemini: A Family of Highly Capable Multimodal Models Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, arXiv (Cornell University) Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis	2023	784
Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Neural Information Processing Systems Artificial IntelligenceNeural Scaling LawEngineeringMachine LearningData Science	2017	485
Predicting protein–protein interactions through sequence-based deep learning Somaye Hashemifar, Behnam Neyshabur, Aly A. Khan, Bioinformatics	2018	384
Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawEngineeringMachine LearningData Science	2017	295
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz, Anders Andreassen, D. Dohan, arXiv (Cornell University) Artificial IntelligenceLlm Fine-tuningEngineeringModel-based ReasoningSemantics	2022	281
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur, Ryota Tomioka, Nathan Srebro Conference on Learning Theory Model OptimizationNetwork ScienceGraph TheoryMachine LearningNorm-based Capacity Control	2015	272
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro International Conference on Learning Representations Mathematical ProgrammingGeneralization BoundModel OptimizationNeural Scaling LawEngineering	2017	253
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningComputational Complexity	2018	213
What is being transferred in transfer learning? Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang arXiv (Cornell University) Few-shot LearningConvolutional Neural NetworkEngineeringMachine LearningLoss Landscape	2020	194
NETAL: a new graph-based method for global alignment of protein–protein interaction networks Behnam Neyshabur, Ahmadreza Khadem, Somaye Hashemifar, Bioinformatics	2013	188

Page 1