With the popularity of deep neural networks (DNNs), model interpretabili...
Group fairness is a popular approach to prevent unfavorable treatment of...
Purpose: In some proton therapy facilities, patient alignment relies on ...
Designing more efficient, reliable, and explainable neural network
archi...
Linking computational natural language processing (NLP) models and neura...
The issue of bias (i.e., systematic unfairness) in machine learning mode...
Learning harmful shortcuts such as spurious correlations and biases prev...
Function-as-a-Service (FaaS) has recently emerged as a new cloud computi...
We present RAWLSNET, a system for altering Bayesian Network (BN) models ...
Deep learning-based RAW image denoising is a quintessential problem in i...
Evolutionary algorithms borrow from biology the concepts of mutation and...
Automatic localization and labeling of vertebra in 3D medical images pla...
This paper presents Pinterest Related Pins, an item-to-item recommendati...
We demonstrate that, with the availability of distributed computation
pl...