research
∙
09/30/2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
For an explanation of a deep learning model to be effective, it must pro...
share
research
∙
05/18/2019
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees
Tree ensembles, such as random forests and AdaBoost, are ubiquitous mach...
research
∙
01/14/2019
Interpretable machine learning: definitions, methods, and applications
Machine-learning models have demonstrated great success in learning comp...
research
∙
06/14/2018
Hierarchical interpretations for neural network predictions
Deep neural networks (DNNs) have achieved impressive predictive performa...
research
∙
01/16/2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
The driving force behind the recent success of LSTMs has been their abil...
research
∙
02/08/2017
Automatic Rule Extraction from Long Short Term Memory Networks
Although deep learning models have proven effective at solving problems ...
research
∙
12/12/2014
