Jimmy Lei Ba
E701498
Jimmy Lei Ba is a machine learning researcher known for influential contributions to deep learning optimization and normalization techniques, including the development of Layer Normalization.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jimmy Lei Ba canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7874841 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Lei Ba Context triple: [Layer Normalization, introducedBy, Jimmy Lei Ba]
-
A.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
-
B.
Wai Ching Ho
Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
-
C.
Kong Lin
Kong Lin is the historic family cemetery of Confucius and his descendants in Qufu, Shandong, and a major Confucian cultural heritage site in China.
-
D.
Lim Jock Hoi
Lim Jock Hoi is a Bruneian diplomat who served as the 14th Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
E.
Thai Lee
Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimmy Lei Ba Target entity description: Jimmy Lei Ba is a machine learning researcher known for influential contributions to deep learning optimization and normalization techniques, including the development of Layer Normalization.
-
A.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
-
B.
Wai Ching Ho
Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
-
C.
Kong Lin
Kong Lin is the historic family cemetery of Confucius and his descendants in Qufu, Shandong, and a major Confucian cultural heritage site in China.
-
D.
Lim Jock Hoi
Lim Jock Hoi is a Bruneian diplomat who served as the 14th Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
E.
Thai Lee
Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning researcher
ⓘ
person ⓘ |
| coAuthorOf |
Adam: A Method for Stochastic Optimization
ⓘ
Layer Normalization ⓘ |
| contributedTo |
widespread adoption of Adam optimizer
ⓘ
widespread adoption of Layer Normalization in deep learning models ⓘ |
| countryOfCitizenship | Canada ⓘ |
| doctoralAdvisor | Geoffrey Hinton ⓘ |
| educatedAt | University of Toronto ⓘ |
| employer | University of Toronto ⓘ |
| fieldOfWork |
deep learning
ⓘ
machine learning ⓘ normalization techniques in neural networks ⓘ optimization in machine learning ⓘ |
| hasAcademicDegree | PhD in Computer Science ⓘ |
| hasCitationImpactOn |
deep learning optimization practices
ⓘ
normalization methods in neural networks ⓘ |
| hasCoAuthor |
Diederik P. Kingma
ⓘ
Geoffrey Hinton ⓘ Kyunghyun Cho ⓘ Yoshua Bengio ⓘ other deep learning researchers ⓘ |
| hasResearchInterest |
optimization algorithms for deep learning
ⓘ
reinforcement learning ⓘ representation learning ⓘ scalable training of neural networks ⓘ |
| influencedBy | Geoffrey Hinton ⓘ |
| knownFor |
Adam optimization algorithm
ⓘ
linked to:
Adam optimizer
Layer Normalization ⓘ research on deep learning optimization ⓘ research on neural network normalization ⓘ |
| languageWritten | English ⓘ |
| notableStudent | graduate students in machine learning ⓘ |
| notableWork |
Adam: A Method for Stochastic Optimization
ⓘ
Layer Normalization ⓘ |
| occupation | assistant professor ⓘ |
| publishesIn |
ICLR
ⓘ
ICML ⓘ NeurIPS ⓘ machine learning conferences ⓘ |
| workLocation | Toronto ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Jimmy Lei Ba Description of subject: Jimmy Lei Ba is a machine learning researcher known for influential contributions to deep learning optimization and normalization techniques, including the development of Layer Normalization.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.