Calendar

Week 1

Jan 10

Dis 1 Course Introduction: Recording

Project 0 out

Jan 11

Lec 1 Image Classification: Recording

: 📖 GBC Ch. 1

: 📖 231n Image Classification

Week 2

Jan 16

Lec 2 Linear Classifiers: Recording

: 📖 231n Linear Classification

Jan 17

Dis 2 Intro to Python and Pytorch: Recording

: Notebook

Jan 18

Lec 3 Regularization + Optimization: Recording

Project 0 due Project 1 out: 📖 231n Optimization

: 📖 GBC Sec 8.1-8.6

: 📖 Li et al., Visualizing Loss Landscaps

: 📖 Goh, Why Momentum Really Works

Week 3

Jan 23

Lec 4 Neural Networks: Recording

Quiz 1: 📖 231n Neural Networks

: 📖 GBC Sec 6.1-6.4

: 📖 Nielsen, Universal Approximation

Jan 24

Dis 3 Intro to PROPS Dataset: Recording

: Notebook

: 📖 Chen et al., ProgressLabeller

Jan 25

Lec 5 Backpropagation: Recording

: 📖 cs231n Backpropagation

: 📖 GBC Sec 6.5-6.6

: 📖 Olah, Backpropagation

Week 4

Week 5

Feb 6

Lec 8 CNN Arch. and Object Detection: Recording

Quiz 4: 📖 Girshick et al., R-CNN

: 📖 Redmon et al., YOLO

: 📖 Lin et al., FCOS

Feb 7

Dis 5 How to Read Research Papers: Recording

: 📖 Vannevar Bush, Science The Endless Frontier

Feb 8

Lec 9 Object Detection: Recording

Quiz 5 Final Project out Interest Survey Out: 📖 cs231n Training I

: 📖 Olah et al., Equivariance in Networks

Week 6

Feb 13

Lec 10 Training Neural Networks I: Recording

Quiz 6: 📖 cs231n Training II

: 📖 Goodfellow et al., Adversarial Examples

Feb 14

Dis 6 How to Present Research Papers: Recording

: 📖 cs231n Training II

Feb 15

Lec 11 Training Neural Networks II: Recording

Quiz 7 Interest Survey Due: 📖 Redmon, Darknet

: 📖 Jia et al., Caffe

: 📖 Abadi et al., TensorFlow

: 📖 Paszke et al., PyTorch

Week 7

Feb 20

Lec 12 Deep Learning Software: Recording

Quiz 8: 📖 Girshick, Fast R-CNN

: 📖 Ren et al., Faster R-CNN

: 📖 He et al., Mask R-CNN

Feb 21

Dis 7 Prelude to 3D Perception: Recording

Feb 22

Lec 13 Office Hours: 📖 Dosovitskiy et al., ViT

Project 2 due Project 3 out: 📖 Li et al., ViTDet

: 📖 Kirillov et al., SAM

Spring Break

Feb 27: Break
Feb 28: Break
Feb 29: Break

Week 8; 3D Perception

Mar 5

Lec 13 RGB-D Architectures: Recording

: 📖 Xiang, PoseCNN

: 📖 Wang, DenseFusion

Mar 6

Dis 8 Prelude to Rigid Body Objects: Recording

Mar 7

Lec 14 Vision Transformers: Recording

: 📖 Vaswani, Attention Is All You Need

: 📖 Dosovitskiy, ViT

: 📖 Carion, DETR

: 📖 Xie, SegFormer

Week 9; Rigid Body Objects

Mar 12

Lec 15 Neural Radiance Fields: Recording

Quiz 9: 📖 Mildenhall, NeRF

Mar 13

Dis 9 Prelude to Object Tracking: Recording

: 📖 Karpathy, The Unreasonable Effectiveness of RNNs

: 📖 Olah & Carter, Attention and Augmented RNNs

Mar 14

Lec 16 Vision-Language Models: Recording

Quiz 10 Project 3 due Project 4 out: 📖 Devlin, BERT

: 📖 Radford, CLIP

: 📖 Kerr, LERF

Week 10; Object Tracking

Mar 19

Lec 17 Student Presentations: Recording

Mar 20

Dis 10 Office Hours

Mar 21

Lec 18 Interpretability and Uncertainty: Recording

Quiz 12 Project 4 due

Week 11; Scene-Level Representations

Mar 26

Lec 19 3D Perception: Recording

Mar 27

Dis 11 Perception for Manipulation: Recording

Mar 28

Lec 20 Recurrent Neural Networks: Recording

Week 12; Data

Apr 2

Lec 21 Unsupervised Learning: Recording

Apr 3

Dis 12 Transformer Architecture: Recording

Apr 4

Lec 22 Domain Adaptation: Recording

Week 13; Perception for Manipulation

Apr 9

Lec 23Student Presentations: Recording

Apr 10

Dis 13 Prelude to Transformer Architectures

Apr 11

Lec 24Semantic Scene Graphs: Recording

Week 14; More Frontiers

Apr 16

Lec 25 Transformer Architectures: 📃 Related Papers

Apr 17

Dis 14Remaining Challenges and Limitations

Apr 18

Lec 26More Frontiers: 📃 Related Papers

Week 15

Apr 23

Lec 28Office Hours/Course Closure: 📖 R. P. Feynman, Cargo Cult Science

Final Project Due