In this post, we give an introduction to bias in machine learning, and we discuss our new research for debiasing pretrained neural networks (i.e., post-hoc debiasing). ArXiv paper: https://arxiv.org/abs/2006.08564 Source code…
When reading about Machine Learning, the majority of the material you’ve encountered is likely concerned with classification problems. You have a certain input, and the ML model tries to figure out the features of that input. For example, a classification model can decide…
Like many other Machine Learning concepts, meta-learning is an approach akin to what human beings are already used to doing. Meta-learning simply means “learning to learn.” Whenever we learn any new skill there is some prior experience we can relate to, which makes the…
Pattern recognition is a crucial aspect of modern data analytics. These patterns can be studied to better understand the underlying structure of data and monitor behavior over time. However, there are often rare items or observations that seem to differ significantly from…
The painting “Edmond de Belamy” is an AI-generated portrait that was sold at an auction for $432,500 in 2018. That’s a lot of money for an artificial painting, but how exactly was it created? Back in 2014, a research team at the University of Montreal published a paper…
Graph from COVID-19Projects
Over just a few months, the new coronavirus disease (COVID-19) has grown from several cases in Wuhan province to a global health threat. It all started in December 2019, after which the virus was first recognized by the World Health…
Deep Learning (DL) has had immense success over the past few years in areas such as computer vision and speech recognition. Recently, DL techniques have also been used to enhance the performance of Recommender Systems (RS). Most major websites and services are using RS…
Before we begin, it’s important to make a distinction between the two techniques in question — Deep Learning (DL) and Reinforcement Learning (RL). By imitating the processes in the human brain, DL uses neural networks to discover patterns in data and make decisions.
In this post, we discuss the details behind our GAN demo at RealityEngines.AI.
Generative adversarial networks (GANs) are viewed by many as the most exciting deep learning development of the last decade, with many applications including data augmentation, image generation…