Chelsea Finn
E639785
Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Chelsea Finn canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7074101 — 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.
Target entity: Chelsea Finn Context triple: [Sergey Levine, notableStudent, Chelsea Finn]
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A.
Fabia Drake
Fabia Drake was a British stage and film actress known for her long career in classical theatre and supporting roles in notable films.
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B.
Grace McKagan
Grace McKagan is an American singer and model best known as the frontwoman of the rock band The Pink Slips and the daughter of Guns N' Roses bassist Duff McKagan.
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C.
Amanda Grayson
Amanda Grayson is a human schoolteacher from Earth in the Star Trek universe, best known as the human wife of Sarek and mother of Spock, bridging human and Vulcan cultures.
-
D.
Morgan Hart
Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
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E.
Quintessa Swindell
Quintessa Swindell is an American actor known for their breakout role in the HBO drama series "In Treatment" and for appearing in films such as "Black Adam."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Chelsea Finn Target entity description: Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
-
A.
Fabia Drake
Fabia Drake was a British stage and film actress known for her long career in classical theatre and supporting roles in notable films.
-
B.
Grace McKagan
Grace McKagan is an American singer and model best known as the frontwoman of the rock band The Pink Slips and the daughter of Guns N' Roses bassist Duff McKagan.
-
C.
Amanda Grayson
Amanda Grayson is a human schoolteacher from Earth in the Star Trek universe, best known as the human wife of Sarek and mother of Spock, bridging human and Vulcan cultures.
-
D.
Morgan Hart
Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
-
E.
Quintessa Swindell
Quintessa Swindell is an American actor known for their breakout role in the HBO drama series "In Treatment" and for appearing in films such as "Black Adam."
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
roboticist ⓘ |
| almaMater |
Massachusetts Institute of Technology
NERFINISHED
ⓘ
University of California, Berkeley NERFINISHED ⓘ |
| awardReceived |
NSF CAREER Award
NERFINISHED
ⓘ
Sloan Research Fellowship NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| degree | PhD in computer science ⓘ |
| doctoralAdvisor | Sergey Levine NERFINISHED ⓘ |
| educatedAt |
Massachusetts Institute of Technology
ⓘ
University of California, Berkeley ⓘ |
| employer | Stanford University ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ meta-learning ⓘ reinforcement learning ⓘ robot learning ⓘ |
| gender | female ⓘ |
| hasAcademicAdvisor | Sergey Levine NERFINISHED ⓘ |
| hasPublicationType |
journal articles
ⓘ
peer-reviewed conference papers ⓘ |
| hasResearchArea |
deep learning for control
ⓘ
imitation learning ⓘ multi-task learning ⓘ online adaptation in robotics ⓘ |
| hasRole |
faculty member
ⓘ
principal investigator ⓘ |
| knownFor |
model-agnostic meta-learning
NERFINISHED
ⓘ
research on generalizable robot learning ⓘ research on meta-learning ⓘ research on reinforcement learning ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf | Stanford Computer Science Department faculty NERFINISHED ⓘ |
| notableWork | Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks NERFINISHED ⓘ |
| occupation | assistant professor ⓘ |
| publishesIn |
CoRL
NERFINISHED
ⓘ
ICLR NERFINISHED ⓘ ICML NERFINISHED ⓘ NeurIPS NERFINISHED ⓘ RSS NERFINISHED ⓘ |
| researchInterest |
few-shot learning
ⓘ
generalization in robotic control ⓘ meta-reinforcement learning ⓘ self-supervised robot learning ⓘ unsupervised learning for robotics ⓘ |
| teaches |
graduate courses in machine learning
ⓘ
graduate courses in robotics ⓘ |
| workInstitution | Stanford Artificial Intelligence Laboratory NERFINISHED ⓘ |
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.
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.
Subject: Chelsea Finn Description of subject: Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.