Schedule (tentative)

Note that the schedule is tentative, and will change depending on how slow / fast we are able to go. In particular, assignment release and due dates, quiz times, and project milestones shown here are subject to changes unless they have actually been released through the respective links: assignments, project, exams.

Date	Topic	Slides	Readings	Assignments
8 / 27	Introduction	PDF	Python / numpy tutorial
	Machine Learning Basics
8 / 29	k Nearest Neighbors	PDF1, PDF2	PML 1, 16.1
9 / 3	Linear Classifiers	PDF, PPTX	PML 7, PML 10.1, 10.2	Assignment 1 Sep 4 – Sep 18
9 / 5	Linear Classifiers	^	PML 7, PML 10.1, PML 10.2
9 / 10	Linear Classifiers	^	PML 7, PML 10.1, PML 10.2
9 / 12	Feature Design, Non-linear Classifiers Classifier Complxity, Bias-Variance	PDF, PPTX	Digit Case Study, PML 17.3, 4.7.6
	Neural Networks Basics
9 / 17	Back-propagation	PDF, PPTX	PML 13.3	Assignment 2 Sep 18 – Oct 9
9 / 19	Training Neural Networks	PDF, PPTX	PML 13.4, 13.5
9 / 24	Training Neural Networks	^
9 / 26	Exam Review	PPTX, PDF		CBTF Exam 1 Sep 30 – Oct 2
	Neural Networks for Images
10 / 1	Convolutions, Max Pooling	PDF, PPTX	PML 14.2
10 / 3	AlexNet and FineTuning	PDF, PPTX	PML 14.2
10 / 8	Residual Networks, Other CNNs	PDF	PML 14.3.2	Assignment 3 Oct 9 – Oct 23
10 / 10	Residual Networks, Other CNNs	^	PML 14.3	IEF
10 / 15	Attention	^	PML 14.3, ViT, VPT	Project Proposal Oct 16
10 / 17	How to Train your Network? (Aditya Prakash)
10 / 22	Object Detection	PDF	RCNN, Fast RCNN, Faster RCNN
10 / 24	Object Detection	^	FPN, Mask RCNN, RetinaNet, Swin, ViTDet, DETR	Assignment 4 Oct 23 – Nov 20
10 / 29	Dense Prediction	PDF, PPTX	FCN, UNET, SAM
10 / 31	Sequence Modelling	PDF
11 / 5	Sequence Modelling	^	Optional: S4, Mamba, TTT
11 / 7	Image Generation, Score Matching	PDF1	NCNS	Assignment 5 Nov 13 – Dec 4
11 / 12	Score Matching	PDF2
11 / 14	Diffusion Models	PDF3	Latent Diffusion, VQ VAE, DDIM, Conditioning, Guidance, Fourier Features
11 / 19	Diffusion Models
11 / 21	Variational Auto Encoders	PDF4.1 PDF4.2	VAEs VAEs to Diffusion Blog
11 / 26	No Class (Fall Break)
11 / 28	No Class (Fall Break)
12 / 3	VAEs
12 / 5	Generative Adversarial Networks	PDF5
12 / 10	Exam Review			Compute Survey Flex
				Projects Due Dec 10
				CBTF Final Exam Dec 11 – Dec 15
	Self supervision	PDF, PPTX	MAE
	Neural Radiance Fields (NeRFs)	PDF	NeRF, Instant NGP
	Vision and Language Models		Molmo and PixMo
	Bias in AI		Good starting points: Datasheets for Datasets, Model Cards for Model Reporting

Schedule (tentative)

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