no code implementations • 26 Jan 2024 • Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
In this work, we analyze the expressive power of neural networks under a more realistic setup: when we use floating-point numbers and operations.
no code implementations • 11 Aug 2022 • Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang
In this paper, we propose a simple and effective self-knowledge distillation method using a dropout (SD-Dropout).
1 code implementation • 29 Sep 2020 • Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang
Experimental results on both synthetic and real-world rainy datasets demonstrate that the proposed model significantly outperforms existing state-of-the-art models.
Ranked #1 on Single Image Deraining on RainCityscapes
1 code implementation • 12 Jan 2020 • Yeachan Park, Myungjoo Kang
Machine learning models can leak information regarding the dataset they have trained.