| Wed Sep 01 |
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , Saxe, McClelland, Ganguli; 2013 |
Draft Summary |
| Sun Sep 05 |
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , Saxe, McClelland, Ganguli; 2013 |
Final Summary |
| Wed Sep 08 |
Cyclical Learning Rates for Training Neural Networks , Smith; 2015 |
Draft Summary |
| Sun Sep 12 |
Cyclical Learning Rates for Training Neural Networks , Smith; 2015 |
Final Summary |
| Sun Sep 19 |
Instance Normalization: The Missing Ingredient for Fast Stylization , Ulyanov, Vedaldi, Lempitsky; 2016 |
Coding |
| Fri Sep 24 |
Sequence to Sequence Learning with Neural Networks , Sutskever, Vinyals, Le; 2014 |
Review both summaries |
| Wed Sep 29 |
Reformer: The Efficient Transformer , Kitaev, Kaiser, Levskaya; 2020 |
Draft Summary |
| Sun Oct 03 |
Reformer: The Efficient Transformer , Kitaev, Kaiser, Levskaya; 2020 |
Final Summary |
| Wed Oct 06 |
BEiT: BERT Pre-Training of Image Transformers , Bao, Dong, Wei; 2021 |
Draft Summary |
| Sun Oct 10 |
BEiT: BERT Pre-Training of Image Transformers , Bao, Dong, Wei; 2021 |
Final Summary |
| Sun Oct 17 |
Implicit Neural Representations with Periodic Activation Functions , Sitzmann, Martel, Bergman, Lindell, Wetzstein; 2020 |
Coding |
| Fri Oct 22 |
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , Ren, He, Girshick, Sun; 2015 |
Review both summaries |
| Wed Oct 27 |
PointCNN: Convolution On $\mathcal{X}$-Transformed Points , Li, Bu, Sun, Wu, Di, Chen; 2018 |
Draft Summary |
| Sun Oct 31 |
PointCNN: Convolution On $\mathcal{X}$-Transformed Points , Li, Bu, Sun, Wu, Di, Chen; 2018 |
Final Summary |
| Wed Nov 03 |
VirTex: Learning Visual Representations from Textual Annotations , Desai, Johnson; 2020 |
Draft Summary |
| Sun Nov 07 |
VirTex: Learning Visual Representations from Textual Annotations , Desai, Johnson; 2020 |
Final Summary |