no code implementations • 14 Dec 2023 • G. Alexi Rodriguez-Arelis, William J. Welch
Dimensional analysis (DA) pays attention to fundamental physical dimensions such as length and mass when modelling scientific and engineering systems.
2 code implementations • 7 Apr 2021 • Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch
Knowledge distillation (KD) has been actively studied for image classification tasks in deep learning, aiming to improve the performance of a student based on the knowledge from a teacher.
1 code implementation • 20 Mar 2021 • Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
When sampling from CcGANs, the superiority of cDR-RS is even more noticeable in terms of both effectiveness and efficiency.
Ranked #1 on Image Generation on RC-49
1 code implementation • ICLR 2021 • Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
This work proposes the continuous conditional generative adversarial network (CcGAN), the first generative model for image generation conditional on continuous, scalar conditions (termed regression labels).
Ranked #2 on Image Generation on RC-49
1 code implementation • 28 Oct 2020 • Xin Ding, Qiong Zhang, William J. Welch
Modern methods often formulate the counting of cells from microscopic images as a regression problem and more or less rely on expensive, manually annotated training images (e. g., dot annotations indicating the centroids of cells or segmentation masks identifying the contours of cells).
1 code implementation • 24 Sep 2019 • Xin Ding, Z. Jane Wang, William J. Welch
Our subsampling methods do not rely on the optimality of the discriminator and are suitable for all types of GANs.
no code implementations • 14 Aug 2019 • Hao Chen, William J. Welch
A computer code can simulate a system's propagation of variation from random inputs to output measures of quality.
no code implementations • 10 Feb 2018 • Wenyi Wang, William J. Welch
We propose an algorithm for a family of optimization problems where the objective can be decomposed as a sum of functions with monotonicity properties.
no code implementations • 3 Jul 2017 • Hongyang Zhang, William J. Welch, Ruben H. Zamar
Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems.
no code implementations • 21 Jun 2017 • Jabed H. Tomal, William J. Welch, Ruben H. Zamar
Our approach uses an ensemble of models in a classifier and an ensemble of assessment metrics.
no code implementations • 20 Mar 2013 • Jabed H. Tomal, William J. Welch, Ruben H. Zamar
Because the class of interest is rare in the training data, there is relatively little information in the known class response labels for model building.