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MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation

Aug 21, 2020
Sung Min Cho, Eunhyeok Park, Sungjoo Yoo

* Accepted at RecSys 2020 

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PROFIT: A Novel Training Method for sub-4-bit MobileNet Models

Aug 11, 2020
Eunhyeok Park, Sungjoo Yoo

* Published at ECCV2020, spotlight paper 

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Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss

Aug 16, 2019
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo

* Accepted to ICCV 2019 

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Precision Highway for Ultra Low-Precision Quantization

Dec 24, 2018
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda

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Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Nov 29, 2018
Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, Juan Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy

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Value-aware Quantization for Training and Inference of Neural Networks

Apr 20, 2018
Eunhyeok Park, Sungjoo Yoo, Peter Vajda

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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

Feb 24, 2016
Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin

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