no code implementations • 21 Sep 2023 • Moonjung Eo, Suhyun Kang, Wonjong Rhee
In this study, we develop a \textit{Differentiable Framework~(DF)} that can express filter selection, rank selection, and budget constraint into a single analytical formulation.
no code implementations • 30 Aug 2023 • Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee
Contrastive learning has emerged as a cornerstone in recent achievements of unsupervised representation learning.
1 code implementation • CVPR 2023 • Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, Wonjong Rhee
Since the introduction of deep learning, a wide scope of representation properties, such as decorrelation, whitening, disentanglement, rank, isotropy, and mutual information, have been studied to improve the quality of representation.
Ranked #15 on Domain Generalization on TerraIncognita
1 code implementation • CVPR 2023 • Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee
In this study, we propose Geometry-Adaptive Preconditioned gradient descent (GAP) that can overcome the limitations in MAML; GAP can efficiently meta-learn a preconditioner that is dependent on task-specific parameters, and its preconditioner can be shown to be a Riemannian metric.
no code implementations • 30 Nov 2021 • Moonjung Eo, Suhyun Kang, Wonjong Rhee
The resulting BSR (Beam-search and Stable Rank) algorithm requires only a single hyperparameter to be tuned for the desired compression ratio.