Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Picture for Young Jin Kim

Young Jin Kim

Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Department of Radiology, Severance Hospital, South Korea

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation


Feb 18, 2023
Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla

Add code


   Access Paper or Ask Questions

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production


Nov 18, 2022
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla

Add code

* Accepted to SustaiNLP 2022 (EMNLP 2022) 

   Access Paper or Ask Questions

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers


Oct 14, 2022
Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sebastien Bubeck, Jianfeng Gao

Add code


   Access Paper or Ask Questions

Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU


Aug 14, 2022
Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadallah

Add code

* 12 pages, accepted at AMTA-2022 (Association for Machine Translation in the Americas Conference) 

   Access Paper or Ask Questions

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers


May 28, 2022
Rui Liu, Young Jin Kim, Alexandre Muzio, Barzan Mozafari, Hany Hassan Awadalla

Add code

* Accepted to ICML 2022 

   Access Paper or Ask Questions

Taming Sparsely Activated Transformer with Stochastic Experts


Oct 12, 2021
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao

Add code


   Access Paper or Ask Questions

Scalable and Efficient MoE Training for Multitask Multilingual Models


Sep 22, 2021
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andres Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla

Add code


   Access Paper or Ask Questions

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding


Oct 26, 2020
Young Jin Kim, Hany Hassan Awadalla

Add code

* Accepted to SustaiNLP 2020 at EMNLP 2020 

   Access Paper or Ask Questions

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study


Jan 27, 2019
Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, Jos$é$ Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker

Add code

* 14 pages, 7 figures, Journal of Cardiovascular Magnetic Resonance 

   Access Paper or Ask Questions

Real-time Prediction of Segmentation Quality


Jun 16, 2018
Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya Valindria, Mihir Sanghvi, Nay Aung, José Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Chris Page, Daniel Rueckert, Ben Glocker

Add code

* Accepted at MICCAI 2018 

   Access Paper or Ask Questions

1
2
>>