Machine Learning Journal Club
The Machine Learning Journal Club will meet every other Thursday to present and discuss two research papers from the recent machine learning literature. Participating graduate students will give the presentations, which are quite informal (15-20 min). The main idea is to quickly get to the contributions of each paper and discuss its significance. The general theme is around the following.
We invite faculty members and graduate students with an interest in the fast-moving fields of machine learning and artificial intelligence to join the club meetings and make the discussions vibrant and interesting.
Every other Thursday, 12:30 - 1:30 pm, throughout the academic year, please check the presentation schedule below for the room location.
Sunanda Gamage (email@example.com)
If you would like to be added to the Machine Learning Club Mailing List, please email Sunanda directly.
Participating faculty members:
Jagath Samarabandu, Abdallah Shami, Katarina Grolinger, Serguei Primak, Xianbin Wang
|Thursday, November 28th, 12:30-1:30pm||SEB 2100||Sunanda Gamage||
"Methods for interpreting and understanding deep neural networks”, G. Montavon, W. Samek, and K.-R. Müller, Feb. 2018.
“Human-level control through deep reinforcement learning”, V. Mnih et al., Feb. 2015
|Thursday, January 16, 2020 12:30-1:30pm||SEB 2100||Serguei Primak||
“When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications”, U. Challita, H. A. Ryden, and H. Tullberg, Nov. 2019.
|Thursday January 30, 2020 12:30-1:30pm||SEB 2100||Norman Tasfi||
“Learning to reinforcement learn”, J. X. Wang, Z. Kurth-Nelson et al, Nov. 2016.
|Thursday, February 13, 2020||SEB 2100||Javad Khodabakhsh||
Presentation Title: "Machine learning applications in power systems"