4 results for “topic:example-based-explanations”
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
A PyTorch based implementation of MMD-critic
Interactive Label Cleaning with Example-based Explanations
xrf is a Python package that implements random forests with example attribution