Reinforcement Learning is a machine learning algorithm that is a ‘general purpose learner’ (with certain important caveats). It generated a lot of excitement with its…
Category: Machine Learning
“Reinforcement Learning with Augmented Data,” (link) by Michael Laskin, et al introduces the idea of using data augmentation in Reinforcement Learning. Data augmentation is already…
I was already signed up for Computer Vision when word came that there would be a new Deep Learning class next semester. I quickly got…
Despite appearances, this post isn’t intended as a political post. I simply utilized the example that led to the thought that inspired the post. We…
Bruce and I have an ongoing discussion about our differing interpretation of Donald Campbell’s notion of “blindness”. Bruce has previously published a post explaining his…
“ImageNet-Trained CNNs are Biased Towards Texture; Increasing Shape Bias Improves Accuracy and Robustness” (link) by Robert Geirhos, et al explores two proposed theories about how…
“Language Models are Few-Shot Learners” by Brown, et al (link) was the world’s introduction to Open AI’s GPT-3, the state of the art language model…
Many of you know that I’m working on a Master’s Degree in Computer Science through Georgia Tech. I have to work to take care of…
In the 4S email group, there has been a lot of discussion about Donald Campbell’s two essays “Evolutionary Epistemology” and “Blind Variation and Selective Retention…
Have you heard the old joke about how there are liar, damn liars, and then there are statisticians? In this episode, Cameo and Bruce discuss…