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Chiheon Kim
Chiheon Kim
Research Scientist, Kakao Brain
kakaobrain.com의 이메일 확인됨
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Fast autoaugment
S Lim, I Kim, T Kim, C Kim, S Kim
Advances in Neural Information Processing Systems 32, 2019
6582019
Autoregressive image generation using residual quantization
D Lee, C Kim, S Kim, M Cho, WS Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
912022
Scalable neural architecture search for 3d medical image segmentation
S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
782019
Community detection in hypergraphs, spiked tensor models, and sum-of-squares
C Kim, AS Bandeira, MX Goemans
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
622017
Stochastic block model for hypergraphs: Statistical limits and a semidefinite programming approach
C Kim, AS Bandeira, MX Goemans
arXiv preprint arXiv:1807.02884, 2018
492018
torchgpipe: On-the-fly pipeline parallelism for training giant models
C Kim, H Lee, M Jeong, W Baek, B Yoon, I Kim, S Lim, S Kim
arXiv preprint arXiv:2004.09910, 2020
412020
Mining gold samples for conditional gans
S Mo, C Kim, S Kim, M Cho, J Shin
Advances in Neural Information Processing Systems 32, 2019
152019
Draft-and-revise: Effective image generation with contextual rq-transformer
D Lee, C Kim, S Kim, M Cho, WS HAN
Advances in Neural Information Processing Systems 35, 30127-30138, 2022
122022
Generalizable Implicit Neural Representations via Instance Pattern Composers
C Kim, D Lee, S Kim, M Cho, WS Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
Automated learning rate scheduler for large-batch training
C Kim, S Kim, J Kim, D Lee, S Kim
arXiv preprint arXiv:2107.05855, 2021
72021
Fast AutoAugment.(2019)
S Lim, I Kim, T Kim, C Kim, S Kim
URL: https://arxiv. org/abs/1905.00397. doi 10, 1905
51905
Locality-aware generalizable implicit neural representation
D Lee, C Kim, M Cho, WS HAN
Advances in Neural Information Processing Systems 36, 2024
32024
Locally Hierarchical Auto-Regressive Modeling for Image Generation
T You, S Kim, C Kim, D Lee, B Han
Advances in Neural Information Processing Systems 35, 16360-16372, 2022
32022
New classes of set-sequential trees
L Golowich, C Kim
Discrete Mathematics 343 (3), 111741, 2020
32020
Saturation Number of Trees in the Hypercube
K Gandhi, C Kim
arXiv preprint arXiv:1409.7983, 2014
22014
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
J Yoo, S Kim, D Lee, C Kim, S Hong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
Maximum size of a family of pairwise graph-different permutations
L Golowich, C Kim, R Zhou
arXiv preprint arXiv:1702.08579, 2017
12017
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Y Jeong, J Lee, C Kim, M Cho, D Lee
arXiv preprint arXiv:2312.07315, 2023
2023
Statistical limits of graphical channel models and a semidefinite programming approach
C Kim
Massachusetts Institute of Technology, 2018
2018
Extremal Number of Trees in Hypercubes
E Jia, C Kim
2015
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학술자료 1–20