no code implementations • 11 Jan 2024 • Jaeill Kim, Duhun Hwang, Eunjung Lee, Jangwon Suh, Jimyeong Kim, Wonjong Rhee
In the past few years, contrastive learning has played a central role for the success of visual 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 #14 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 • ICML Workshop AML 2021 • Duhun Hwang, Eunjung Lee, Wonjong Rhee
AID-purifier is an auxiliary network that works as an add-on to an already trained main classifier.
no code implementations • 8 Nov 2018 • Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee
In this study, the effects of eight representation regularization methods are investigated, including two newly developed rank regularizers (RR).