Hanie Sedghi - Concepedia

Author

Hanie Sedghi

Google (United States)ORCID

Also Known As

Bohnet, Bernd, Hanie Sedghi, Sedghi, H, Sedghi, Hanie

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Google (United States)University of California, Irvine University of Southern California University of California, Berkeley

About

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

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	21	901
2	Education	2	2	238
3	Cognitive Science	2	2	29
4	Business	1	1	20
5	Language Studies	1	1	12

Hanie Sedghi

Publications

948

Citations

H-Index

Page 1

	Year	Citations
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
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods Majid Janzamin, Hanie Sedghi, Anima Anandkumar arXiv (Cornell University) Artificial IntelligenceMathematical ProgrammingModel OptimizationEngineeringMachine Learning	2015	146
The Singular Values of Convolutional Layers Hanie Sedghi, Vineet Gupta, Philip M. Long International Conference on Learning Representations Convolutional Neural NetworkEngineeringMachine LearningBatch NormalizationFunctional Analysis	2018	93
Statistical Structure Learning to Ensure Data Integrity in Smart Grid Hanie Sedghi, Edmond Jonckheere IEEE Transactions on Smart Grid EngineeringPower Grid OperationInformation SecurityRobust ControlVerification	2015	65
The Singular Values of Convolutional Layers Hanie Sedghi, Vineet Gupta, Philip M. Long arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningBatch NormalizationFunctional Analysis	2018	59
What is being transferred in transfer learning Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang Neural Information Processing Systems Few-shot LearningConvolutional Neural NetworkEngineeringMachine LearningLoss Landscape	2020	44
Exploring the Limits of Large Scale Pre-training Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, arXiv (Cornell University) Artificial IntelligenceTraining SystemLlm Fine-tuningConvolutional Neural NetworkEngineering	2021	35
Generalization bounds for deep convolutional neural networks Philip M. Long, Hanie Sedghi arXiv (Cornell University) Deep Convolutional NetworkGeometric LearningConvolutional Neural NetworkMachine VisionMachine Learning	2019	33
Statistical structure learning of smart grid for detection of false data injection Hanie Sedghi, Edmond Jonckheere State EstimatorsEngineeringMachine LearningPower Grid OperationInformation Security	2013	30
Score Function Features for Discriminative Learning: Matrix and Tensor Framework Majid Janzamin, Hanie Sedghi, Anima Anandkumar arXiv (Cornell University) Structured PredictionEngineeringMachine LearningScore Function FeaturesTensor-valued Features	2014	29

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