CSCI 8945: Advanced Representation Learning (Fall 2019)

Instructor Sheng Li
Time and Location of Lecture TR: 11:00 am - 12:15 pm Boyd GSRC 306
W: 11:15 pm - 12:05 pm Boyd GSRC 306
Instructor Office Hours and Location Wednesday: 12:30 pm - 2:00 pm or by an email appointment.
Boyd GSRC 549
TA Office Hours and Location TBA

Course Description

This course presents a rigorous overview of advanced representation learning algorithms in machine learning, from the traditional subspace learning models to the recent deep representation learning models. Applications in the fields of computer vision, data mining, and natural language processing will be covered.

Required Prerequisite

CSCI 6380 (Data Mining), CSCI 6550 (Artificial Intelligence) or Permission of Department


Section Portion Description
Paper Review 25% Write comprehensive paper reviews for assigned papers
Paper Presentation 20% Present assigned papers and lead discussion
Team Project 45% Project proposal (10%); Progress review (5%); Final presentation (15%) and report (15%)
In-class Participation 10%

Grade Conversion Table:

Letter Grade A A- B+ B B- C+ C C- D+ D D- F
Range [93,100] [90,92] [87,89] [83,86] [80,82] [77,79] [73,76] [70,72] [67,69] [63,66] [60,62] [0,59]

Academic Honesty

We will strictly follow UGA’s Academic Honesty Policy. Dishonest behavior will not be tolerated and may result into failing the course. Please contact the instructor if you have any concerns regarding this issue.

Class Schedule (Tentative)