Jimmy Ba
E34729
Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ person ⓘ |
| affiliation | Vector Institute for Artificial Intelligence ⓘ |
| basedIn | Toronto ⓘ |
| citizenship | Canada ⓘ |
| coAuthorOf |
Adam: A Method for Stochastic Optimization
ⓘ
Layer Normalization ⓘ Multiple deep learning papers on optimization ⓘ |
| coAuthorWith | Diederik P. Kingma ⓘ |
| contributedTo | development of adaptive gradient methods ⓘ |
| doctoralAdvisor | Geoffrey Hinton ⓘ |
| educatedAt | University of Toronto ⓘ |
| fieldOfWork |
deep learning
ⓘ
machine learning ⓘ optimization algorithms ⓘ |
| gender | male ⓘ |
| hasAcademicAdvisor | Geoffrey Hinton ⓘ |
| hasHIndex | (unknown numeric value) ⓘ |
| hasNotableStudent | (unknown) ⓘ |
| hasNotableWork |
Adam: A Method for Stochastic Optimization
ⓘ
Layer Normalization paper ⓘ |
| hasResearchArea |
optimization for deep neural networks
ⓘ
training stability in deep learning ⓘ |
| hasRole | faculty member at University of Toronto ⓘ |
| influencedBy | Geoffrey Hinton ⓘ |
| knownFor |
Adam optimizer
ⓘ
deep learning optimization methods ⓘ |
| language | English ⓘ |
| memberOf | Vector Institute for Artificial Intelligence ⓘ |
| nationality | Canadian ⓘ |
| occupation |
professor
ⓘ
researcher ⓘ |
| publicationVenue |
ICLR
ⓘ
surface form:
International Conference on Learning Representations
ICML ⓘ
surface form:
International Conference on Machine Learning
NeurIPS ⓘ
surface form:
Neural Information Processing Systems
|
| researchInterest |
neural networks
ⓘ
reinforcement learning ⓘ representation learning ⓘ stochastic optimization ⓘ |
| workInstitution | University of Toronto ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.