Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach

9 Jan 2020Serena BoothAnkit ShahYilun ZhouJulie Shah

Though neural network models demonstrate impressive performance, we do not understand exactly how these black-box models make individual predictions. This drawback has led to substantial research devoted to understand these models in areas such as robustness, interpretability, and generalization ability... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.