20 citations · 46 across the 10 of their papers we have counts for
10 papers
Rényi stability of sets: a two-order phase diagram and sharp deletion principles
Jae Oh Woo
A set in an abelian group is a set if every -term sum has a unique representation up to permutation; for these are the Sidon sets. We study a weighted removal pr…
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
JoonHo Lee, Jae Oh Woo, Hankyu Moon +1
Deploying deep visual models can lead to performance drops due to the discrepancies between source and target distributions. Several approaches leverage labeled source data to esti…
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
Ayaan Haque, Hankyu Moon, Heng Hao +3
3D deep learning is a growing field of interest due to the vast amount of information stored in 3D formats. Triangular meshes are an efficient representation for irregular, non-uni…
Analytic Mutual Information in Bayesian Neural Networks
Jae Oh Woo
Bayesian neural networks have successfully designed and optimized a robust neural network model in many application problems, including uncertainty quantification. However, with it…
PatchNet: Unsupervised Object Discovery based on Patch Embedding
Hankyu Moon, Heng Hao, Sima Didari +2
We demonstrate that frequently appearing objects can be discovered by training randomly sampled patches from a small number of images (100 to 200) by self-supervision. Key to this…
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
Acquiring labeled data is challenging in many machine learning applications with limited budgets. Active learning gives a procedure to select the most informative data points and i…
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
Heng Hao, Hankyu Moon, Sima Didari +2
We propose a highly data-efficient active learning framework for image classification. Our novel framework combines: (1) unsupervised representation learning of a Convolutional Neu…
Majorization and Rényi Entropy Inequalities via Sperner Theory
Mokshay Madiman, Liyao Wang, Jae Oh Woo
A natural link between the notions of majorization and strongly Sperner posets is elucidated. It is then used to obtain a variety of consequences, including new Rényi entropy inequ…
Entropy Inequalities for Sums in Prime Cyclic Groups
Mokshay Madiman, Liyao Wang, Jae Oh Woo
Lower bounds for the Rényi entropies of sums of independent random variables taking values in cyclic groups of prime order under permutations are established. The main ingredients…
An Analytical Framework for Modeling a Spatially Repulsive Cellular Network
Chang-Sik Choi, Jae Oh Woo, Jeffrey G. Andrews
We propose a new cellular network model that captures both deterministic and random aspects of base station deployments. Namely, the base station locations are modeled as the super…