2014, Data Collection, Knowledge Discovery and Optimization

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). Conference on Knowledge Discovery and Data Mining, pp. layer-wise relevance propagation), model distillation (e.g. Ribeiro, M.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

Explaining black-box models using attribute importance, PDPs, and LIME

Webinars

Stay Connected