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Young Jin Kim
Young Jin Kim
Microsoft
Artificial intelligence
Computer science
Machine translation
Machine learning
Natural language processing
5
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45
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Taming Sparsely Activated Transformer with Stochastic Experts.
2021
arXiv: Computation and Language
Simiao Zuo
Xiaodong Liu
Jian Jiao
Young Jin Kim
Hany Hassan
Ruofei Zhang
Tuo Zhao
Jianfeng Gao
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Artificial neural network models for airport capacity prediction
2021
Journal of Air Transport Management
Sun Choi
Young Jin Kim
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Scalable and Efficient MoE Training for Multitask Multilingual Models.
2021
arXiv: Computation and Language
Young Jin Kim
Ammar Ahmad Awan
Alexandre Muzio
Andrés Felipe Cruz-Salinas
Liyang Lu
Amr Hendy
Samyam Rajbhandari
Yuxiong He
Hany Hassan Awadalla
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FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
2020
| Conference on Empirical Methods in Natural Language Processing
Young Jin Kim
Hany Hassan
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From Research to Production and Back: Ludicrously Fast Neural Machine Translation
2019
EMNLP | Empirical Methods in Natural Language Processing
Young Jin Kim
Marcin Junczys-Dowmunt
Hany Hassan
Alham Fikri Aji
Kenneth Heafield
Roman Grundkiewicz
Nikolay Bogoychev
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Citations (42)
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