| Date |
Topic |
Suggested Readings |
Reference |
Homework |
| Jan. 11,12 |
Introduction (Eng)
Mathematics (Eng)
ML Basics (Eng)
Introduction (Fr)
Mathematics (Fr)
ML Basics (Fr)
|
Deep Learning Book
Chap. 2
Chap. 3
Chap. 5
|
|
|
| Jan. 18,19 |
Feedforward Neural Networks & Optimization Tricks (Eng)
Feedforward Neural Networks & Optimization Tricks (Fr)
|
Deep Learning Book
Chap. 6
Chap. 7
Chap. 8
|
|
|
| Jan. 25,26 |
CNNs and RNNs (Fr)
PyTorch Tutorial (Slides, Eng)
Notebook Part I (Eng)
Notebook Part II (Eng)
|
Python Numpy Tutorial
Neural Network from Scratch
Dive into Deep Learning
|
|
HW-1 (Eng)
Devoir-1 (Fr)
|
| Feb. 1,2 |
CNNs and RNNs (Eng)
Introduction to Pytorch (Fr)
|
Deep Learning Book
Chap. 9
Chap. 10
|
ResNet
GRU
EfficientNet
|
|
| Feb. 8,9 |
RNNs (Fr)
Natural Language Processing I (Eng)
|
Word2Vec
|
SGNS
|
|
| Feb. 15,16 |
Natural Language Processing I (Fr)
Natural Language Processing I (Eng)
|
CNN for sentence classification
Seq2Seq
|
T5
CNN Multi-task Learning
|
|
| Feb. 22,23 |
No Class (Projects proposal ready)
|
|
|
|
| Mar. 1,2 |
Break
|
|
|
|
| Mar. 8,9 |
Natural Language Processing III (Eng)
Natural Language Processing III (Fr)
|
Attention Seq2Seq
Transformer
|
XLNet
GLUE Benchmark
GPT-3
|
HW-2 (Eng)
Devoir-2 (Fr)
|
| Mar. 15,16 |
Natural Language Processing III (Eng)
Generative models (Fr)
|
BERT
GPT-3
|
RoBERTa
|
|
| Mar. 22,23 |
Graph Representation Learning I (Eng)
Graph Representation Learning I (Fr)
|
DeepWalk
LINE
|
Node2Vec
Metapath2Vec
LargeVis
|
|
| Mar. 29,30 |
Graph Representation Learning II (Eng)
Graph Representation Learning II (Fr)
|
Graph Convolutional Networks
Graph Attention Networks
Neural Message Passing
Graph Isomorphism Network
|
RGCN
SGC
Graph Transformer
|
|
| Apr. 5,6 |
AI Drug Discovery, Review
|
|
|
|
| Apr. 12,13 |
Poster Session
|
|
|
|