Deep Unsupervised Learning
NUS SoC, 2019/2020, Semester I
CS 6101 - Exploration of Computer Science Research
Thu 18:00-20:00 @ i3 #03-44 (STMI Executive Classroom)
NUS SoC, 2019/2020, Semester I
CS 6101 - Exploration of Computer Science Research
Thu 18:00-20:00 @ i3 #03-44 (STMI Executive Classroom)
This course is taken almost verbatim from CS 294-158-SP19 – Pieter Abbeel’s course at UC Berkeley. We are following his course’s formulation and selection of papers, with the permission of Pieter.
This is a section of the CS 6101 Exploration of Computer Science Research at NUS. CS 6101 is a 4 modular credit pass/fail module for new incoming graduate programme students to obtain background in an area with an instructor’s support. It is designed as a “lab rotation” to familiarize students with the methods and ways of research in a particular research area.
This course is also offered as a Do-it-Yourself Module (DYOM) for NUS undergraduates. Please see the Slack group channel #dyom for details.
Our section will be conducted as a group seminar, with class participants nominating themselves and presenting the materials and leading the discussion. It is not a lecture-oriented course and not as in-depth as Abbeel’s original course at UC Berkeley, and hence is not a replacement, but rather a class to spur local interest in Deep Unsupervised Learning.
This course is offered in Session I (Weeks 3-7) and Session II (Weeks 8-13), although it is clear that the course is logically a single course that builds on the first half. Nevertheless, the material should be introductory and should be understandable given some prior study.
A mandatory discussion group is on Slack. Students and guests, please login when you are free. If you have a @comp.nus.edu.sg, @u.nus.edu, @nus.edu.sg, @a-star.edu.sg, @dsi.a-star.edu.sg or @i2r.a-star.edu.sg. email address you can create your Slack account for the group discussion without needing an invite.
For interested public participants, please send Min an email at kanmy@comp.nus.edu.sg if you need an invite to the Slack group. The Slack group is being reused from previous semesters. Once you are in the Slack group, you can consider yourself registered for the course.