Date
| Slides
| Reading list
|
January 17
| Class intro
| N/A
|
January 19
| CNN architectures (Lana): PPT, PDF
| Reading list
|
January 24
| RNN Tutorial (Arun): PPT, PDF
| Reading list
|
January 26
| RNN Tutorial Part 2 (Arun): PPT, PDF
| Reading list
|
January 31
| Advanced CNN architectures (Akshay, Hong): PPT, PDF
| Reading list
|
February 2
| Advanced training techniques (Prajit): PPT, PDF
| Reading list
|
February 7
| Network compression, speedup (Shuochao, Yiwen, Daniel): PPT, PDF
| Reading list
|
February 9
| Object detection (Jiajun, Sihao, Kevin): PPT, PDF
| Reading list
|
February 14
| Semantic segmentation, dense labeling (Liwei): PPT, PDF
| Reading list
|
February 16
| Similarity learning (Moitreya, Yunan): PPT, PDF
| Reading list
|
February 21
| Visualization, adversarial examples (Ralf, Jyoti, Jiahui): PPT, PDF
| Reading list
|
February 23
| Generative adversarial networks (Shashank, Bhargav, Binglin): PPT, PDF
| Reading list
|
February 28
| Variational autoencoders (Raymond, Junting, Teck-Yian): PDF
| Reading list
|
March 2
| Advanced generation methods (Ameya, Hsiao-Ching, Anand): PPT, PDF
| Reading list
|
March 7
| 3D + graphics (Juho, Qi): PPT, PDF
| Reading list
|
March 9
| Self-supervised learning (Nate, Christian, Pratik): PPT, PDF
| Reading list
|
March 10
| Intro to reinforcement learning -- bonus lecture (Unnat, Garima, Karan): PDF
10-11:30AM, SC 216
| Reading list
|
March 14
| Deep Q learning (Unnat, Garima, Karan): PPT, PDF
| Reading list
|
March 16
| Deep reinforcement learning: policy gradients, planning (Tanmay, Raj, Zhizhong): PDF
| Reading list
|
March 28
| Deep learning for manipulation, navigation (Tanmay, Andrey): PPT,
PDF
| Reading list
|
March 30
| Recurrent architectures (Abhishek, Anusri): PPT, PDF
| Reading list
|
April 4
| Image captioning (Anjali, Liaonan, Ruihan): PDF
| Reading list
|
April 6
| Image-text embeddings, grounding (Qing, Yang): PDF
| Reading list
|
April 11
| Visual question answering (Liang-Wei, Shuai): PDF
| Reading list
|
April 13
| Deep learning for NLP (Zeqiu, Quan, Dongming): PDF
| Reading list
|
April 18
| Deep learning for machine translation (Yiren, Shaoshi, Yisi): PPT
| Reading list
|
April 20 |
Deep learning for audio (Matt, Yuchen, Chris): PPT, PDF
| Reading list
|
April 25
| Architectures with memory (Nitish, Shreya): PPT, PDF
| Reading list
|
April 27
| Meta-algorithms (Mariya, Safa): PDF
| Reading list
|
May 2
| Project presentations: PDF
|
|