no code implementations • 24 Oct 2022 • Taero Kim, Sungjun Lim, Kyungwoo Song
Moreover, we propose a new algorithm, Adaptive Sharpness-aware Group Distributionally Robust Optimization (ASGDRO), to learn sufficient invariant features across domains or groups.
no code implementations • 24 Feb 2022 • Jaekeol Choi, Euna Jung, Sungjun Lim, Wonjong Rhee
The traditional approach, however, is being rapidly replaced by Neural Ranking Models (NRMs) that can exploit semantic features.
no code implementations • 25 Sep 2019 • Byeongsu Sim, Gyutaek Oh, Sungjun Lim, and Jong Chul Ye
Specifically, we reveal that a cycleGAN architecture can be derived as a dual formulation of the optimal transport problem, if the PLS with a deep learning penalty is used as a transport cost between the two probability measures from measurements and unknown images.
no code implementations • 26 Aug 2019 • Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye
Deconvolution microscopy has been extensively used to improve the resolution of the wide-field fluorescent microscopy, but the performance of classical approaches critically depends on the accuracy of a model and optimization algorithms.
no code implementations • 5 Apr 2019 • Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye
In contrast to the recent CNN approaches for similar problem, the explicit PSF modeling layers improve the robustness of the algorithm.