no code implementations • COLING 2022 • Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim
In this multilingual approach, a typical setup is to use pairs of (image and English-text) and translation pairs.
1 code implementation • 9 May 2020 • Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim
NeurIPS 2019 AutoDL challenge is a series of six automated machine learning competitions.
3 code implementations • 21 Apr 2020 • Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim
We design and implement a ready-to-use library in PyTorch for performing micro-batch pipeline parallelism with checkpointing proposed by GPipe (Huang et al., 2019).
no code implementations • CVPR 2020 • Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
In this paper, we propose a novel spatial output layer on top of the existing convolutional feature maps to explicitly exploit the location-specific output information.
no code implementations • 13 Jun 2019 • Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
In this paper, a neural architecture search (NAS) framework is proposed for 3D medical image segmentation, to automatically optimize a neural architecture from a large design space.