Machine Learning, Active Learning, Artificial Intelligence, Diversity, Pytorch.
four types of Diversity Sampling covered in the cheatsheet are: Model-based Outliers: sampling for low activation in your logits and hidden layers to find items that are confusing to your model because of lack of information Cluster-based Sampling: using Unsupervised Machine Learning to sample data