Schedule for In-class Presentations

Date	Topic	Suggested Readings	Reference	Homework
Aug. 25	Introduction [En] Mathematics [En] Machine Learning Basics [En]	Deep Learning Book Chap. 2 Chap. 3 Chap. 5
Sep. 8	Feedforward Neural Networks & Optimization Tricks	Deep Learning Book Chap. 6 Chap. 7 Chap. 8
Sep. 15	PyTorch part 1 PyTorch Part 2	Python Numpy Tutorial Neural Network from Scratch Dive into Deep Learning		HW1 (to be announced)
Sep. 22	Convolutional Neural Networks & Recurrent Neural Networks	Deep Learning Book Chap. 9 Chap. 10	ResNet ViT
Sep. 29	Word Representation Learning	Word2Vec	SGNS GPT-1
Oct. 6	Attention, Transformers	Transformer	RoBERTa
Oct. 15	No class (Project proposal)			HW2 (to be announced)
Nov. 3	Large Language Models I	BERT GPT-3 Survey of Pre-trained LMs	OPT PaLM LLaMA
Nov. 10	Large Language Models II - Prompt Tuning	Chain-of-Thought Self Consistency ReAct	Prefix-Tuning Promtp Tuning LoRA Instruction Tuning
Nov. 17	Generative Models	GAN VAE	DDPM Stable diffusion
Nov. 24	Graph Representation Learning	DeepWalk LINE GCN	Open Graph Benchmark
Dec. 1	Poster Session