Browsing: Yannic Kilcher
Answering complex questions about tabular information is hard. No two tables are alike and sometimes the answer you’re looking for…
This ONE SIMPLE TRICK can take a vanilla RL algorithm to achieve state-of-the-art. What is it? Simply augment your training…
An in-depth look at this channel’s analytics. Links: YouTube: Twitter: BitChute: Minds: source
When AI makes a plan it usually does so step by step, forward in time. But often it is beneficial…
One CNN to rule them all! BiT is a pre-trained ResNet that can be used as a starting point for…
A closer look at a story of how the deployment of AI brings its own challenges and what can go…
This is a hard paper! Energy-functions are typically a mere afterthought in current machine learning. A core function of the…
The dirty little secret of Batch Normalization is its intrinsic dependence on the training batch size. Group Normalization attempts to…
CPUs are often bottlenecks in Machine Learning pipelines. Data fetching, loading, preprocessing and augmentation can be slow to a point…
This paper sets out to build a classifier to distinguish criminals from non-criminals using nothing but a face picture. I…