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…
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…
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…
In this post, we discuss a new state-of-the-art algorithm for neural architecture search.
Arxiv paper:https://arxiv.org/abs/1910.11858
Source code:https://www.github.com/naszilla/bananas
Image source…