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)

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