Learn to Explain Efficiently via Neural Logic Inductive Learning

ICLR 2020 Yuan YangLe Song

The capability of making interpretable and self-explanatory decisions is essential for developing responsible machine learning systems. In this work, we study the learning to explain problem in the scope of inductive logic programming (ILP)... (read more)

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