4 citations · 4 across the 5 of their papers we have counts for
6 papers
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
Kyungeun Lee, Wonjong Rhee
Mutual Information (MI) is a fundamental metric for quantifying dependency between two random variables. When we can access only the samples, but not the underlying distribution fu…
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…
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…
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee, Moonjung Eo, Euna Jung +2
In modern transportation systems, an enormous amount of traffic data is generated every day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep l…
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee, Wonjong Rhee
Traffic speed forecasting is one of the core problems in transportation systems. For a more accurate prediction, recent studies started using not only the temporal speed patterns b…
Statistical Characteristics of Deep Representations: An Empirical Investigation
Daeyoung Choi, Kyungeun Lee, Duhun Hwang +1
In this study, the effects of eight representation regularization methods are investigated, including two newly developed rank regularizers (RR). The investigation shows that the s…