Srinadh Bhojanapalli

Author

Google (United States)ORCID

Also Known As

Bhojanapalli, Srinadh, Srinadh Bhojanapalli

Publications

3.2K

Citations

H-Index

Concepts

All Affiliations

Google (United States)Toyota Technological Institute at Chicago The University of Texas at Austin University of California, Berkeley Massachusetts Institute of Technology

About

Srinadh Bhojanapalli is an author at Google (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	26	2.9K
2	Computer Science	19	24	2.7K
3	Data Science	11	12	1.6K
4	Language Studies	3	3	99
5	Computer Engineering	2	2	263

Srinadh Bhojanapalli

Publications

3.1K

Citations

H-Index

Page 1

	Year	Citations
Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Neural Information Processing Systems Artificial IntelligenceNeural Scaling LawEngineeringMachine LearningData Science	2017	485
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Gläsner, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Convolutional Neural NetworkEngineeringMachine LearningRobust FeatureImage Classification	2021	378
Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawEngineeringMachine LearningData Science	2017	295
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
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You, Jing Li, Sashank J. Reddi, arXiv (Cornell University) Large Ai ModelBert TrainingDeep Neural NetworksEngineeringMachine Learning	2019	164
The role of over-parametrization in generalization of neural networks Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Evolving Neural NetworkEngineeringMachine LearningComputational NeuroscienceNeuronal Network	2019	162
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro arXiv (Cornell University) Mathematical ProgrammingNumerical AnalysisLow-rank ApproximationSparse RepresentationEngineering	2016	158
Global optimality of local search for low rank matrix recovery Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro arXiv (Cornell University) Mathematical ProgrammingNumerical AnalysisEngineeringMachine LearningRandom Initialization	2016	140
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro arXiv (Cornell University) Mathematical ProgrammingGeneralization BoundModel OptimizationNeural Scaling LawEngineering	2017	107

Page 1