Interpreting, Explaining and Visualizing Deep Learning
... now what ?
NIPS 2017 Workshop, 9 December 2017, Long Beach, CA
[ List of Speakers |
Call for Papers |
Tentative Schedule |
While machine learning models have reached impressively high predictive accuracy, they are often perceived as black-boxes. In sensitive applications such as medical diagnosis or self-driving cars, the reliance of the model on the right features must be guaranteed. One would like to be able to interpret what the ML model has learned in order to identify biases and failure modes and improve models accordingly. Interpretability is also needed in the sciences, where understanding how the ML model relates the multiple physical and biological variables is a prerequisite for building meaningful scientific hypotheses.
The present workshop aims to review recent techniques and establish new theoretical foundations for interpreting and understanding deep learning models. However, it will not stop at the methodological level, but also address the “now what?” question, where we aim to take the next step by exploring and extending practical usefulness. The workshop will have speakers from various application domains (computer vision, NLP, neuroscience, medicine), it will provide an opportunity for participants to learn from each other and initiate new interdisciplinary collaborations.
List of Speakers
Call for Papers
We call for papers on the following topics: (1) interpretability of deep neural networks, (2) analysis and comparison of state-of-the-art models, (3) formalization of the interpretability problem, (4) interpretability for making ML socially acceptable, and (5) applications of interpretability.
Submissions are required to stick to the NIPS format
Papers are limited to eight pages (excluding references) and will go through a review process. A selection of accepted papers together with the invited contributions will be part of an edited book at Springer LNCS.
|Submission deadline ||22 October, 2017|
|Author notification ||01 November, 2017|
|Workshop ||09 December, 2017|
|Session 1: Foundations|
|08.30 - 09.00||Opening Remarks|
|09.00 - 09.30||Invited Talk 1|
|09.30 - 10.00||Invited Talk 2|
|10.00 - 10.30||Methods Talks (2x15 min)|
|10.30 - 11.00||Coffee Break|
|11:00 - 11.30||Invited Talk 3|
|11.30 - 12.00||Methods Talks (3x10 min)|
|12.00 - 12.30||Posters + Demonstrations|
|12:30 - 13.30||Lunch|
|Session 2: Applications|
|13.30 - 14.00||Posters + Demonstrations|
|14.00 - 14.30||Invited Talk 4|
|14.30 - 15.00||Invited Talk 5|
|15.00 - 15.30||Coffee Break|
|15.30 - 16:00||Application Talks (3x10 min)|
|16.00 - 16.30||Invited Talk 6|
|16.30 - 17.00||Invited Talk 7|
|17.00 - 17:30||Application Talks (2x15 min)|
|17.30 - 18:15||Panel Discussion / Closing Remarks|
- Klaus-Robert Müller (TU Berlin)
- Andrea Vedaldi (University of Oxford)
- Lars Kai Hansen (Technical University of Denmark)
- Wojciech Samek (Fraunhofer HHI)
- Grégoire Montavon (TU Berlin)