Fall 2021 | CSE 291 | Unsupervised learning |
Winter 2022 | CSE 291 | Unsupervised learning |
Spring 2022 | CSE 101 | Algorithms |
Spring 2022 | CSE 254 | Seminar: Explainable AI |
Webpages of some courses from previous years:
CSE 101 | Algorithms |
CSE 103 | Probability and statistics |
CSE 151 | Machine learning |
CSE 250B | Machine learning |
CSE 254 | Seminar: inference in graphical models |
CSE 254 | Seminar: embeddings |
CSE 254 | Seminar: deep learning |
CSE 254 | Seminar: neurally-inspired unsupervised learning |
CSE 254 | Seminar: deep unsupervised learning |
CSE 291 | Probabilistic AI |
CSE 291 | Learning theory I (supervised learning) |
CSE 291 | Topics in unsupervised learning |
CSE 291 | Bayesian methods |
CSE 291 | Geometric algorithms |
CSE 291 | Topics in learning theory |
CSE 291 | Distances, similarities, and embeddings |