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)
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Dear all,
This is a reminder of tomorrow's talk by Ryan Kiros from the University of Toronto. He will tell us about his very recent work on generating captions from images.
The talk will be held at AA3195 starting at 13.30.
Hope to see many of you at the talk! - Cho
P.S. See below for the latest schedule. Since the last email, one more talk has been scheduled on Monday following NIPS.
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
*+ 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)* - 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural Networks> by Dr. Guido Montufar <MPI MIS> - 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof. Yung-Kyun Noh (KAIST)
*+ 16 Dec 2014 (Tue)* - 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)
Dear all,
This is a reminder of *two* talks scheduled tomorrow. The first talk will be given by Xinyi Chen and Peng (Eric) Ding from DeepGlint. The second talk will be given by Sarath Chandar from IBM India.
Both of these talks will be at AA3195. The first one starts at 10.30, and the second one at 13.30.
Hope to see many of you there! - Cho
P.S. I will probably prepare snacks only for the afternoon's talk, unless anyone objects. Anyone who objects to this is kindly asked to bring snacks for everyone to the morning's talk :)
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
*+ 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)* - 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural Networks> by Dr. Guido Montufar <MPI MIS> - 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof. Yung-Kyun Noh (KAIST)
*+ 16 Dec 2014 (Tue)* - 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)
Dear all,
This is a reminder of *two talks* scheduled tomorrow. The first talk in the morning will be given by Yingbo Zhou from University at Buffalo, The State University of New York. The talk will happen in *AA3195* starting from *10.30*.
Dr. Gerry Tesauro from IBM T. J. Watson Research Center will be the second speaker tomorrow. The talk will be in *S-116* starting at *13.30*.
Hope to see many of you there! - Cho
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
+ 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) - 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural Networks> by Dr. Guido Montufar <MPI MIS> - 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof. Yung-Kyun Noh (KAIST)
+ 16 Dec 2014 (Tue) - 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)
Dear all,
Have you all enjoyed NIPS last week? Although NIPS is over for everyone else, our own seminar series still continues for two more days!
Tomorrow (Monday), we will have two talks:
10.30 - 11.30 (Z-215) Dr. Guido Montufar from MPI MIS 13.30 - 14.30 (AA3195) Dr. Yung-Kyun Noh from KAIST/SNU
Hope to see many of you there! - Cho
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
+ 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)* * - 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural Networks> by Dr. Guido Montufar <MPI MIS>* * - 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof. Yung-Kyun Noh (KAIST)*
+ 16 Dec 2014 (Tue) - 10.30 - 11.30 <TBD> by Nicolas le Roux (Criteo) - 13.30 - 14.30 <General Stochastic Networks for Classification> by Matthias Zohrer (TU Graz)
The Google Calendar has the talk by Dr. Guido Montufar at 3:30 so which is correct?
On Sun Dec 14 2014 at 16:49:00 Kyung Hyun Cho cho.k.hyun@gmail.com wrote:
Dear all,
Have you all enjoyed NIPS last week? Although NIPS is over for everyone else, our own seminar series still continues for two more days!
Tomorrow (Monday), we will have two talks:
10.30 - 11.30 (Z-215) Dr. Guido Montufar from MPI MIS 13.30 - 14.30 (AA3195) Dr. Yung-Kyun Noh from KAIST/SNU
Hope to see many of you there!
- Cho
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
- 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)*
- 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural
Networks> by Dr. Guido Montufar <MPI MIS>*
- 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof.
Yung-Kyun Noh (KAIST)*
- 16 Dec 2014 (Tue)
- 10.30 - 11.30 <TBD> by Nicolas le Roux (Criteo)
- 13.30 - 14.30 <General Stochastic Networks for Classification> by
Matthias Zohrer (TU Graz)
Lisa_labo mailing list Lisa_labo@iro.umontreal.ca https://webmail.iro.umontreal.ca/mailman/listinfo/lisa_labo
Dustin,
Thanks for noticing that! *The talk by Guido will start at 10.30*. I just fixed Google Calendar entry.
On Sun, Dec 14, 2014 at 5:12 PM, Dustin Webb dustin@cs.utah.edu wrote:
The Google Calendar has the talk by Dr. Guido Montufar at 3:30 so which is correct?
On Sun Dec 14 2014 at 16:49:00 Kyung Hyun Cho cho.k.hyun@gmail.com wrote:
Dear all,
Have you all enjoyed NIPS last week? Although NIPS is over for everyone else, our own seminar series still continues for two more days!
Tomorrow (Monday), we will have two talks:
10.30 - 11.30 (Z-215) Dr. Guido Montufar from MPI MIS 13.30 - 14.30 (AA3195) Dr. Yung-Kyun Noh from KAIST/SNU
Hope to see many of you there!
- Cho
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
- 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)*
- 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural
Networks> by Dr. Guido Montufar <MPI MIS>*
- 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof.
Yung-Kyun Noh (KAIST)*
- 16 Dec 2014 (Tue)
- 10.30 - 11.30 <TBD> by Nicolas le Roux (Criteo)
- 13.30 - 14.30 <General Stochastic Networks for Classification> by
Matthias Zohrer (TU Graz)
Lisa_labo mailing list Lisa_labo@iro.umontreal.ca https://webmail.iro.umontreal.ca/mailman/listinfo/lisa_labo
It's happening now at Z215
From my mobile
On Dec 14, 2014 4:47 PM, "Kyung Hyun Cho" cho.k.hyun@gmail.com wrote:
Dear all,
Have you all enjoyed NIPS last week? Although NIPS is over for everyone else, our own seminar series still continues for two more days!
Tomorrow (Monday), we will have two talks:
10.30 - 11.30 (Z-215) Dr. Guido Montufar from MPI MIS 13.30 - 14.30 (AA3195) Dr. Yung-Kyun Noh from KAIST/SNU
Hope to see many of you there!
- Cho
*= Schedule =*
Available also at: http://lisa.iro.umontreal.ca/seminars_en.html
- 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)*
- 10.30 - 11.30 <On the Number of Linear Regions of Deep Neural
Networks> by Dr. Guido Montufar <MPI MIS>*
- 13.30 - 14.30 <Machine Learning with Nearest Neighbors> by Prof.
Yung-Kyun Noh (KAIST)*
- 16 Dec 2014 (Tue)
- 10.30 - 11.30 <TBD> by Nicolas le Roux (Criteo)
- 13.30 - 14.30 <General Stochastic Networks for Classification> by
Matthias Zohrer (TU Graz)
lisa_seminaires@iro.umontreal.ca
-
Dustin Webb -
Kyung Hyun Cho -
Kyung Hyun Cho