Connectionists: Last Call for submissions: ICML 2016 Workshop on Visualization for Deep Learning

[Jason Yosinski]

* Call For Submissions
http://icmlviz.github.io/

We invite submissions to the ICML 2016 Workshop on Visualization for
Deep Learning in New York City, NY on June 23rd, 2016.
(http://icmlviz.github.io/) Deep neural networks are complex to design
and train. They are non-linear systems that have many local optima and
are sensitive to hyper-parameters. Systematic optimization of
structure and hyper-parameters is possible, but hampered by the
expense of training each design on realistic datasets. We argue that
visualization can play an essential role in understanding DNNs and in
developing new design principles. With rich tools for visual
exploration of networks during training and inference, one should be
able to form closer ties between theory and practice: validating
expected behaviors, and exposing the unexpected which can lead to new
insights.

* Important Dates

Deadline for submissions : May 1, 2016   (Email chairs if you need more time)
Notification of acceptance : May 10, 2016
Workshop date : June 23 2016 (Thursday, First day of workshops)

* Submission

We accept many kinds of papers, such as (and not limited to) extended
abstracts, short papers, work-in-progress papers, and demo papers. You
can also submit your published work as 2-page summarization.
We encourage submissions of relevant work that has been previously
published, or is to be presented at the main conference. The accepted
papers will be posted on the workshop website and will not appear in
the official ICML proceedings. Submissions must be in PDF, written in
English, no more than 8 pages long — shorter papers are welcome — and
formatted according to the standard ICML 2016 guideline.
Submissions do not have to be anonymized.
For accepted papers, at least one author must attend the workshop to
present the work.

Submission website: https://cmt3.research.microsoft.com/VDL2016


* Contact
For workshop-related queries please contact:
bjiang at berkeley.edu

* Organizers:
John Canny (UC Berkeley, canny at berkeley.edu)
Polo Chau (Georgia Tech, polo at gatech.edu)
Biye Jiang (UC Berkeley, bjiang at berkeley.edu)
Aditya Khosla (MIT, khosla at csail.mit.edu)

*Program Committee
Byron Boots, Georgia Tech
Jeff Clune, University of Wyoming
Shixia Liu, Tsinghua University
Wojciech Samek, Heinrich Hertz Institute
Yingnian Wu, University of California, Los Angeles
Jason Yosinski, Cornell University
Junyan Zhu, University of California, Berkeley




cheers,
jason


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Jason Yosinski, Cornell Computer Science / Geometric Intelligence
http://yosinski.com/    +1.719.440.1357