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.

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Caglar Gulcehre canonical 1

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Predicate Object
instanceOf machine learning researcher
person
affiliation MILA – Quebec Artificial Intelligence Institute NERFINISHED
Université de Montréal NERFINISHED
coAuthorWith Dzmitry Bahdanau NERFINISHED
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 NERFINISHED
Turkey NERFINISHED
hasGender male
knownFor neural machine translation
neural network-based natural language processing
recurrent neural network encoder–decoder architectures
sequence modeling
languageSpoken English
Turkish
notableWork RNN encoder–decoder architecture for machine translation NERFINISHED
papers on neural machine translation with RNN encoder–decoder models
research on deep reinforcement learning for control tasks
publishedIn ACL NERFINISHED
ICLR NERFINISHED
ICML NERFINISHED
NeurIPS NERFINISHED
researchInterest attention mechanisms
multimodal learning
neural machine translation
sequence-to-sequence learning
worksOn applied deep reinforcement learning
large-scale neural networks
sequence-to-sequence models for translation

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