CSCI2952-X

Research Topics in Self Supervised Learning

Fall 2024

We will cover the core components of current self supervised learning pipelines: (i) data preprocessing, (ii) data augmentation, (iii) optimization, and (iv) fine-tuning. For each, we will read and discuss recent papers and work in group to implement our own alternative solutions.

Instructor(s):
Meets:
Exam:

No final exam has been scheduled for this course by the department through the registrar's office. Please consult syllabus or contact instructor.

If an exam were to have scheduled, it would have been held:
Exam Date: 17-DEC-2024  Exam Time: 02:00:00 PM  Exam Group: 08

Max Seats:50 Full
CRN:19497