by Eslam Ahmed Abdelrahman | Mar 21, 2024 | White Paper
ABSTRACT Abstract— In collaboration with Lumina AI, this research discusses the effectiveness of Random Contrast Learning (Lumina RCL) on a variety of tabular datasets in comparison to more traditional methods of machine learning. It describes how well Lumina RCL...
by Eslam Ahmed Abdelrahman | Jan 16, 2024 | White Paper
ABSTRACT Abstract—In collaboration with Lumina AI, this paper highlights the effectiveness of the Lumina RCL model in text classification. We evaluate three diverse and challenging datasets, comparing Lumina RCL’s performance against traditional machine learning...
by lumina | Nov 15, 2023 | White Paper
1. INTRODUCTION AND BACKGROUND Although Deep Learning has enjoyed tremendous success and growth in recentyears, it continues to be costly and time consuming. Computations in deep learning are so intensive that a suite of hardware processors has been adapted or...
by lumina | Apr 21, 2022 | White Paper
April 21, 2022 Authored by: Dr. Morten Middelfart, Sam Martin, and Ben Martin Abstract In this paper, we demonstrate that RCL scales sublinearly with dataset size and linearly with compute. We also indicate how RCL both differs from transformer architecture and...
by lumina | Feb 16, 2022 | White Paper
February 16, 2022 Authored by: Dr. Morten Middelfart, Sam Martin, and Ben Martin Abstract In this paper, we demonstrate that, compared to deep learning, random contrast learning (RCL) produces unsupervised language models with faster training, faster inference, and...
