Dear all,

We will have a number of visitors at the lab before and after NIPS 2014. Many of the talks will be interesting to many of the lab members, and I would like to recommend all to be at all of the talks. Also, I'd like to warmly welcome anyone on this mailing list who's not at the LISA lab to attend the talks.

Most of the talks will be held at AA3195 (Pavillon André-Aisenstadt, 2920 Chemin de la tour, Montréal). Please, check back frequently for the locations of the talks on http://lisa.iro.umontreal.ca/seminars_en.html. There may be a few more talks added in a next few days, so again, please check the schedule online frequently.

Best,

- Cho

= Schedule =

+ 3 Dec 2014 (Wed)

- 13.30 - 14.30 <A Multiplicative Model for Learning Distributed Text-Based Attribute Representations> by Ryan Kiros (University of Toronto)

+ 4 Dec 2014 (Thu)

- 10.30 - 11.30 <What if computer can perceive the world like we do?> by Xinyi Chen, Peng (Eric) Ding (DeepGlint)

- 13.30 - 14.30 <Learning Compact Yet Rich Models for Text> by Sarath Chandar (IBM India)

+ 5 Dec 2014 (Fri)

- 10.30 - 11.30 <Joint Training of Deep Autoencoders> by Dr. Yingbo Zhou (University at Buffalo, The State University of New York)

- 13.30 - 14.30 <How Watson Learns Superhuman Jeopardy! Strategies> by Dr. Gerald Tesauro (IBM T. J. Watson Research Center)

+ 15 Dec 2014 (Mon)

- 13.30 - 14.30 <TBD> by Prof. Yung-Kyun Noh (KAIST)

+ 16 Dec 2014 (Tue)

- 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)