CS8803-SMR: Fall 2020 Schedule: Public

	A	B	C	D	E	F	G
1	Week		Topic	Paper	Paper	Advocate	Critic

2	1	8/17	class introduction and overview
3	1	8/19	Big ideas from ML and Systems	Hidden technical debt in ML	Berkeley View of Systems Challenges for AI
4	1	8/21	registration deadline
5	2	8/24	ML Systems	TFX, KDD17
6	2	8/26	ML Systems	***AutoDiff in ML	Theano (bonus)
7	3	8/31	Guest Lecture: ML Accelerators & Dataflows	*** Eyeriss	MAESTRO
8	3	9/02	Guest Lecture: ML Accelerators & Dataflows	***MAERI	TPU
9	4	9/07	LABOR DAY (no class)
10	4	9/09	Course project idea overview	Tensorflow
11	5	9/14	Declarative ML Frameworks and AutoDiff	Pytorch	Theano (optional)
12	5	9/16	ML Frameworks	Mxnet
13	6	9/21	ML Frameworks	Ray
14	6	9/23	Prediction Serving	Clipper
15	7	9/28	Prediction Serving	Inferline
16	7	9/30	Hyperparameter Optimization	HyperSched
17	8	10/05	HyperOpt continued + AutoML summary	NAS Survey	MNasNet
18	8	10/07	Neural Architecture Search	OFA	EfficientNet
19	9	10/12	Scheduling for ML	TetriSched	3Sigma(optional)
20	9	10/14	Scheduling for ML continued
21	10	10/19	mid-point project presentations
22	10	10/21	mid-point project presentations
23	11	10/26	Scheduling for ML finalized	ESCHER
24	11	10/28	Guest Lecture: AI for healthcare	DL4EHR Survey	DL4ECG
25	12	11/2	Real Time ML Systems for healthcare	HOLMES
26	12	11/4	Model Compression	Squeezenet
27	13	11/9	Serverless Frameworks for ML	Serverless Computing: One Step Forward, Two Steps Back	Cirrus (optional)
28	13	11/11	Guest Lecture: training algorithms for new accelerators	PipeMare	BFloat16
29	14	11/16	Model Compression & Concluding Remarks	Rethink net pruning
30	14	11/18	final project presentations
31	15	11/23	final project presentations
32		12/06	final project video/demo due by 2359ET
33		12/07	final project report due by 2359ET
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36		NOTES	final instructional days: Nov 23-24
37			holiday : Nov 25
38			reading day Nov 30
39			final exam slot: Mon, Dec 7, 11:20-2:10
40			*** (paper) -> paper to be presented in class
41
42	Bonus Topics		ML Compilers	TVM
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