Nsml: Meet the mlaas platform with a real-world case study H Kim, M Kim, D Seo, J Kim, H Park, S Park, H Jo, KH Kim, Y Yang, Y Kim, ... arXiv preprint arXiv:1810.09957, 2018 | 111 | 2018 |
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks H Park, Y Nam, JH Kim, J Choo IEEE Transactions on Visualization and Computer Graphics 27 (2), 1407-1416, 2020 | 33 | 2020 |
VisualHyperTuner: Visual Analytics for User-driven Hyperparameter Tuning of Deep Neural Networks H Park, J Kim, M Kim, JH Kim, J Choo, JW Ha, N Sung MLsys, 2019 | 22 | 2019 |
CHOPT: Automated hyperparameter optimization framework for cloud-based machine learning platforms J Kim, M Kim, H Park, E Kusdavletov, D Lee, A Kim, JH Kim, JW Ha, ... arXiv preprint arXiv:1810.03527, 2018 | 11 | 2018 |
HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models H Park, A Cho, H Jeon, H Lee, Y Yang, S Lee, H Lee, J Choo IEEE Visualization in Data Science (VDS), 21-29, 2023 | 3 | 2023 |
Extracting placeness from social media: an ontology-based system JJ Choi, J Kim, H Park, W Lee Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 2 | 2017 |
NetSet: A systematic integration of visualization for analyzing set intersections with network H Park, H Lim, W Lee, K Lee 2017 IEEE Pacific Visualization Symposium (PacificVis), 26-30, 2017 | | 2017 |