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stat.ML2019★ 2.2k cited
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch, Chandan Singh, Karl Kumbier +2
Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data. In addition to using models for pre…
stat.ML2017★ 15 cited
Interpreting Convolutional Neural Networks Through Compression
Reza Abbasi-Asl, Bin Yu
Convolutional neural networks (CNNs) achieve state-of-the-art performance in a wide variety of tasks in computer vision. However, interpreting CNNs still remains a challenge. This…