Large Language Models (LLMs) represent the recent success of deep learni...
Numerical reasoning is vital for natural language processing models to
u...
The goal of this study is to implement diffusion models for speech
enhan...
The increasing use of Machine Learning (ML) software can lead to unfair ...
Bias in machine learning has rightly received significant attention over...
Algorithmic fairness, studying how to make machine learning (ML) algorit...
There has been concern within the artificial intelligence (AI) community...
Ride-hailing services have skyrocketed in popularity due to the convenie...
Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...
Recent works in artificial intelligence fairness attempt to mitigate
dis...
Fairness in machine learning (ML), the process to understand and correct...
The need to analyze information from streams arises in a variety of
appl...
In this paper we propose the design and implementation of a generic medi...
As Artificial Intelligence (AI) is used in more applications, the need t...
Data-driven learning algorithms are employed in many online applications...
While image understanding on recognition-level has achieved remarkable
a...
Speech enhancement has benefited from the success of deep learning in te...
Recent studies in big data analytics and natural language processing dev...
An ideal safe workplace is described as a place where staffs fulfill
res...
Breast cancer is the second leading cause of cancer-related death after ...
While artificial intelligence (AI)-based decision-making systems are
inc...
Deep generative models for graphs have exhibited promising performance i...
Automated data-driven decision-making systems are ubiquitous across a wi...
A self-organizing map (SOM) is a type of competitive artificial neural
n...