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WMLI 2016 : ICANN 2016 Workshop on Machine Learning and Interpretability

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Link: http://www.interpretable-ml.org/icann2016workshop/
 
When Sep 6, 2016 - Sep 6, 2016
Where Barcelona, Spain
Submission Deadline Aug 16, 2016
Notification Due Aug 19, 2016
Categories    neural networks   machine learning   interpretability
 

Call For Papers

ICANN 2016 Workshop on Machine Learning and Interpretability

Workshop at 25th International Conference on Artificial Neural Networks (ICANN)
BarcelonaTech (UPC), Barcelona, Spain
6 September 2016
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Machine learning (ML) methods such as deep neural networks have demonstrated high predictive performance on a number of tasks in the sciences and industry. However, these predictive models often behave as black-boxes, and model interpretability must be built expressly into the system.

The Workshop on Machine Learning and Interpretability (WMLI2016) aims to review recent techniques for enabling the interpretability of machine learning models and to identify new fields of applications for such techniques. Furthermore, it would provide an opportunity for participants to initiate new interdisciplinary projects.

For more information see http://interpretable-ml.org/icann2016workshop

CALL FOR EXTENDED ABSTRACTS
We welcome submission of extended abstracts related to the topic of machine learning and interpretability. There are no formatting constraints except that the abstract should be limited to 1 or 2 pages.

Submission website: https://cmt3.research.microsoft.com/WMLI2016

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