Generating result explanations for neural networks

Abstract A method includes training, using a first set of training data, to produce a machine learning model to generate an output based on an input. In an embodiment, the method includes training, using a second set of training data, to produce a second model to generate the output based on the input. In an embodiment, the method includes receiving a query to explain a decision-making process of the machine learning model. In an embodiment, the method includes producing, in response to the query, an explanation of the decision-making process of the second model.
Authors
  • Dinesh Verma (IBM US)
  • Seraphin Calo (IBM US)
  • Supriyo Chakraborty (IBM US)
Date May-2020
Venue U.S. Patent Application 16/201,393, filed November 27, 2018 [link]