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Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer


Jun 09, 2022
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

* 20 pages, 11 figures 

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Autoregressive Image Generation using Residual Quantization


Mar 09, 2022
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

* 30 pages, 24 figures, accepted by CVPR 2022, the code is available at https://github.com/kakaobrain/rq-vae-transformer 

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Automated Learning Rate Scheduler for Large-batch Training


Jul 13, 2021
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim

* 15 pages, 7 figures, 4 tables, 8th ICML Workshop on Automated Machine Learning (2021) 

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torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models


Apr 21, 2020
Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim

* 10 pages, 7 figures 

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Mining GOLD Samples for Conditional GANs


Oct 21, 2019
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

* NeurIPS 2019 

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Scalable Neural Architecture Search for 3D Medical Image Segmentation


Jun 13, 2019
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim

* 9 pages, 3 figures 

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Fast AutoAugment


May 25, 2019
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim

* 8 pages, 2 figure 

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Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach


Jul 08, 2018
Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans


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