52 citations · 131 across the 21 of their papers we have counts for
23 papers
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Moonjung Eo, Suhyun Kang, Wonjong Rhee
Filter pruning and low-rank decomposition are two of the foundational techniques for structured compression. Although recent efforts have explored hybrid approaches aiming to integ…
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee, Jaeill Kim, Suhyun Kang +1
Contrastive learning has emerged as a cornerstone in recent achievements of unsupervised representation learning. Its primary paradigm involves an instance discrimination task with…
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim, Suhyun Kang, Duhun Hwang +2
Since the introduction of deep learning, a wide scope of representation properties, such as decorrelation, whitening, disentanglement, rank, isotropy, and mutual information, have…
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang, Duhun Hwang, Moonjung Eo +2
Model-agnostic meta-learning (MAML) is one of the most successful meta-learning algorithms. It has a bi-level optimization structure where the outer-loop process learns a shared in…
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
Jungwook Shin, Jaeill Kim, Kyungeun Lee +2
In autonomous driving, data augmentation is commonly used for improving 3D object detection. The most basic methods include insertion of copied objects and rotation and scaling of…
Evaluating Feature Attribution Methods for Electrocardiogram
Jangwon Suh, Jimyeong Kim, Euna Jung +1
The performance of cardiac arrhythmia detection with electrocardiograms(ECGs) has been considerably improved since the introduction of deep learning models. In practice, the high p…