Sergey Ioffe
E213533
Sergey Ioffe is a computer scientist and researcher in machine learning, best known for co-authoring the influential Batch Normalization technique widely used in deep neural networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sergey Ioffe canonical | 2 |
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ researcher ⓘ |
| citationImpact | highly cited researcher in machine learning ⓘ |
| coAuthoredWith | Christian Szegedy ⓘ |
| coAuthorOf |
Batch Normalization
ⓘ
surface form:
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
|
| coInvented | Batch Normalization ⓘ |
| contributedTo |
optimization techniques for deep learning
ⓘ
regularization methods in neural networks ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedAt | Massachusetts Institute of Technology ⓘ |
| employer | Google ⓘ |
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ pattern recognition ⓘ |
| gender | male ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| influenced |
convergence speed of deep learning models
ⓘ
stability of deep neural network training ⓘ training methods for deep neural networks ⓘ |
| knownFor | Batch Normalization ⓘ |
| language | English ⓘ |
| notableWork |
Batch Normalization
ⓘ
surface form:
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
|
| publishedIn |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
surface form:
IEEE Conference on Computer Vision and Pattern Recognition
ICML ⓘ
surface form:
International Conference on Machine Learning
NeurIPS ⓘ
surface form:
Neural Information Processing Systems
|
| researchInterest |
large-scale visual recognition
ⓘ
neural networks ⓘ representation learning ⓘ |
| workedAt | Google Research ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.