1 code implementation • 2 Feb 2022 • Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun
Real-world optimization problems are generally not just black-box problems, but also involve mixed types of inputs in which discrete and continuous variables coexist.
1 code implementation • 5 Jul 2021 • Kyeongryeol Go, Seyoung Yun
Meta-learning aims to learn a model that can handle multiple tasks generated from an unknown but shared distribution.
no code implementations • 7 Dec 2020 • Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun
In the machine learning algorithms, the choice of the hyperparameter is often an art more than a science, requiring labor-intensive search with expert experience.
no code implementations • 6 Dec 2020 • Taehyeon Kim, Sangmin Bae, Jin-woo Lee, Seyoung Yun
Federated learning has emerged as an innovative paradigm of collaborative machine learning.
1 code implementation • 1 Feb 2020 • Taehyeon Kim, Jonghyup Kim, Seyoung Yun
Our final score is 0. 0054, which represents 370x improvements over the baseline for the CIFAR100 dataset.