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AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression

May 25, 2021
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars

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GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent

Feb 15, 2021
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee

* Accepted to HPCA 2021 

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Deep Composer Classification Using Symbolic Representation

Oct 26, 2020
Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi

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DANCE: Differentiable Accelerator/Network Co-Exploration

Sep 14, 2020
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee

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SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks

Sep 11, 2020
Zhu Baozhou, Peter Hofstee, Jinho Lee, Zaid Al-Ars

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MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System

Jul 10, 2020
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang

* 7 pages, 5 figures, IJCAI-PRICAI 2020 

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SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders

Jan 14, 2020
Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho

* 12 pages 

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MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design

Oct 15, 2019
Mayoore S. Jaiswal, Bumboo Kang, Jinho Lee, Minsik Cho

* NeurIPS Workshop 2019 - Learning with Rich Experience: Integration of Learning Paradigms 

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Globally Optimal Object Tracking with Fully Convolutional Networks

Dec 25, 2016
Jinho Lee, Brian Kenji Iwana, Shouta Ide, Seiichi Uchida

* 6pages, 8figures 

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