UCSD ECE 285: Introduction to Visual Learning (Spring 2021)

Date	Lecture	Materials	Assignments
Mar 30	Introduction to the Class	Lecture 1
Apr 1	Nearest Neighbor and linear classifiers	Lecture 2
Apr 6	MLP and back-propagation	Lecture 3	Assignment 1
Apr 8	Convolutional Neural Networks 1	Lecture 4
Apr 13	Convolutional Neural Networks 2	Lecture 5
Apr 15	Tutorial on Pytorch	Tutorial Notebooks
Apr 20	Image Segmentation and Visualization	Lecture 7	Assignment 2
Apr 22	Object Detection	Lecture 8
Apr 27	Recurrent Neural Networks	Lecture 9
Apr 29	Temporal and 3D convolution	Lecture 10	Project Proposal Due
May 4	Video Prediction	Lecture 11	Assignment 3
May 6	Self-Attention, GNN and Transformer 1	Lecture 12
May 11	Self-Attention, GNN and Transformer 2	Lecture 13
May 13	Generative Model 1	Lecture 14
May 18	Generative Model 2	Lecture 15	Assignment 4
May 20	3D Vision	Lecture 16
May 25	Multi-task, Zero-shot, Few-shot Learning	Lecture 17
May 27	Trainsfer Learning and Domain Adaptation	Lecture 18
June 1	Self-Supervised Learning 1	Lecture 19
June 3	Self-Supervised Learning 2	Lecture 20	Final project due