Caglar Gulcehre
E899027
Caglar Gulcehre is a machine learning researcher known for his contributions to neural network-based natural language processing and sequence modeling, including work on RNN encoder–decoder architectures for machine translation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Caglar Gulcehre canonical | 1 |
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning researcher
ⓘ
person ⓘ |
| affiliation |
MILA – Quebec Artificial Intelligence Institute
NERFINISHED
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Université de Montréal NERFINISHED ⓘ |
| coAuthorWith |
Dzmitry Bahdanau
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ⓘ
Fethi Bougares NERFINISHED ⓘ Holger Schwenk NERFINISHED ⓘ Kyunghyun Cho NERFINISHED ⓘ Yoshua Bengio NERFINISHED ⓘ |
| countryOfResidence | United Kingdom ⓘ |
| doctoralAdvisor | Yoshua Bengio NERFINISHED ⓘ |
| educatedAt | Université de Montréal NERFINISHED ⓘ |
| employer | Google DeepMind NERFINISHED ⓘ |
| fieldOfWork |
deep learning
ⓘ
machine learning ⓘ natural language processing ⓘ reinforcement learning ⓘ representation learning ⓘ sequence modeling ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| hasCitizenship |
Canada
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ⓘ
Turkey NERFINISHED ⓘ |
| hasGender | male ⓘ |
| knownFor |
neural machine translation
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neural network-based natural language processing ⓘ recurrent neural network encoder–decoder architectures ⓘ sequence modeling ⓘ |
| languageSpoken |
English
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Turkish ⓘ |
| notableWork |
RNN encoder–decoder architecture for machine translation
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papers on neural machine translation with RNN encoder–decoder models ⓘ research on deep reinforcement learning for control tasks ⓘ |
| publishedIn |
ACL
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ICLR NERFINISHED ⓘ ICML NERFINISHED ⓘ NeurIPS NERFINISHED ⓘ |
| researchInterest |
attention mechanisms
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multimodal learning ⓘ neural machine translation ⓘ sequence-to-sequence learning ⓘ |
| worksOn |
applied deep reinforcement learning
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large-scale neural networks ⓘ sequence-to-sequence models for translation ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.