This is a reminder for the Workshop on Symbolic-Neural Learning (SNL) <http://www.ttic.edu/SNL2017/> to be held July 7-8, 2017 in Nagoya Japan. Submissions are open with deadline (extended to) March 22, 2017.
Symbolic-neural learning involves deep learning methods in combination with symbolic structures. A "deep learning method" is taken to be any method for non-convex optimization of a large number of real-valued model parameters. See the web site for more discussion. K eynote speakers will include Yoshua Bengio (invited) Université de Montréal, Montréal, Canada William Cohen (invited) Carnegie Mellon University, Pittsburgh, USA Masashi Sugiyama RIKEN and University of Tokyo, Tokyo, Japan Jun'ichi Tsujii AI Center, AIST, Tokyo, Japan Other details can be found at the web site. David McAllester, Yutaka Sasaki Program co-chairs
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