[visionlist] CFP: AAAI-19 Workshop on Network Interpretability for Deep Learning

[Lixin Fan]

AAAI-19 Workshop on Network Interpretability for Deep Learning

Call for Paper



This workshop aims to bring together researchers, engineers, students in
both academic and industrial communities who concern about the
interpretability of deep learning models and, more importantly, the safety
of applying these complex deep models in critical applications such as the
medical diagnosis and the autonomous driving.  Efforts along this direction
are expected to open the black box of deep neural networks for better
understanding and to build more transparent deep models which are
interpretable to humans.  Therefore, the main theme of the workshop is to
build up consensus on the emerging topic of the network interpretability,
by clarifying the motivation, the typical methodologies, the prospective
trends, and the potential industrial applications of the network
interpretability.



Topics of interest include but are not limited to

●          Theories of deep neural networks

●          Visualization of neural networks

●          Diagnosing and disentangling feature representations of neural
networks

●          Learning representations for neural networks which are
interpretable,
disentangled and/or compact

●          Improving interpolation capacity of features for generative
models.

●          Probabilistic logic interpretation of deep learning

●          Bridging feature representations between visual concepts and
linguistic concepts.

●          Safety and fairness of the deep learning models

●          Industrial applications of interpretable deep neural networks

●          Evaluation of the interpretability of neural networks



Submission:

We are calling for the extended abstracts with 2—4 pages and full
submissions with 6—8 pages. All the accepted papers will not be included in
the proceedings of AAAI 2019, but we will publish workshop proceedings on
arXiv.org.



Please submit workshop papers to networkinterpretability at gmail.com .

Submission deadline: November 5, 2018

Notification date: November 26, 2018



Organizers:

Quanshi Zhang, zqs1022 at sjtu.edu.cn

Lixin Fan, lixin.fan01 at gmail.com

Bolei Zhou, bzhou at csail.mit.edu
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