Schedule

*This schedule is evolving and will change based on your interests and how the class is progressing. See here for a list of topics and related papers.
Lec. Date Topic Slides Deadlines
1
Jan. 11
Introduction Lecture01
2
Jan. 18
Neural Networks Lecture02 Indicate your prefered papers for in-class presentation due
3
Jan. 25
Convolutional Neural Networks Lecture03 Assignment 1 is out. Due on Feb 7. pdf, Code, Tutorial
4
Feb. 1
Recurrent Neural Networks Lecture04
5
Feb. 8
Generative Adversarial Networks (GANs) Lecture05 Project Proposal due.
Assignment 2 is out. Due on March 8. pdf, Code
Feb. 15
Winter Break No class
6
Feb. 22
Generative Adversarial Networks (GANs)
7
March 1
Few-shot Learning, Transfer Learning
8
March 8
Transfer Learning, Domain Adaptation, Zero-shot Learning
9
March 15
Multi-view Learning, Deep Clustering
10
March 22
Interpretable AI
11
March 29
Final Project Presentation
12
Apr. 5
Final Project Presentation
Project Reports due on April 7