1 code implementation • 5 Aug 2024 • Seyeon Kim, Joonhun Lee, Namhoon Cho, Sungjun Han, Wooseop Hwang
We introduce a novel framework for generalized Gaussian error modeling in deep reinforcement learning to enhance the flexibility of error distribution modeling by incorporating additional higher-order moment, particularly kurtosis, thereby improving the estimation and mitigation of data-dependent aleatoric uncertainty.
1 code implementation • 16 Apr 2024 • TaeHo Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha
Fine-tuning pre-trained large language models (LLMs) with limited hardware presents challenges due to GPU memory constraints.
1 code implementation • 28 Mar 2024 • Seyeon Kim, Siyoon Jin, JiHye Park, Kihong Kim, Jiyoung Kim, Jisu Nam, Seungryong Kim
AToM excels in capturing subtle lip movements by leveraging an audio attention mechanism.
no code implementations • 21 Feb 2024 • Kihong Kim, Haneol Lee, JiHye Park, Seyeon Kim, Kwanghee Lee, Seungryong Kim, Jaejun Yoo
Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos.
1 code implementation • 30 May 2023 • Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim
The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term.