| Fri Sep 03 |
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , Clevert, Unterthiner, Hochreiter; 2015 |
Review both summaries |
| Sun Sep 12 |
SGDR: Stochastic Gradient Descent with Warm Restarts , Loshchilov, Hutter; 2016 |
Coding |
| Wed Sep 15 |
Dropout: A Simple Way to Prevent Neural Networks from Overfitting , Srivastava, Hinton, Krizhevsky, Sutskever, Salakhutdinov; 2014 |
Draft Summary |
| Sun Sep 19 |
Dropout: A Simple Way to Prevent Neural Networks from Overfitting , Srivastava, Hinton, Krizhevsky, Sutskever, Salakhutdinov; 2014 |
Final Summary |
| Wed Sep 22 |
End-To-End Memory Networks , Sukhbaatar, Szlam, Weston, Fergus; 2015 |
Draft Summary |
| Sun Sep 26 |
End-To-End Memory Networks , Sukhbaatar, Szlam, Weston, Fergus; 2015 |
Final Summary |
| Fri Oct 01 |
Rethinking Attention with Performers , Choromanski, Likhosherstov, Dohan, Song, Gane, Sarlos, Hawkins, Davis, Mohiuddin, Kaiser, Belanger, Colwell, Weller; 2020 |
Review both summaries |
| Sun Oct 10 |
LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference , Graham, El-Nouby, Touvron, Stock, Joulin, Jégou, Douze; 2021 |
Coding |
| Wed Oct 13 |
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , Park, Florence, Straub, Newcombe, Lovegrove; 2019 |
Draft Summary |
| Sun Oct 17 |
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , Park, Florence, Straub, Newcombe, Lovegrove; 2019 |
Final Summary |
| Wed Oct 20 |
Cascade R-CNN: Delving into High Quality Object Detection , Cai, Vasconcelos; 2017 |
Draft Summary |
| Sun Oct 24 |
Cascade R-CNN: Delving into High Quality Object Detection , Cai, Vasconcelos; 2017 |
Final Summary |
| Fri Oct 29 |
PointPillars: Fast Encoders for Object Detection from Point Clouds , Lang, Vora, Caesar, Zhou, Yang, Beijbom; 2018 |
Review both summaries |
| Wed Nov 03 |
Learning Transferable Visual Models From Natural Language Supervision , Radford, Kim, Hallacy, Ramesh, Goh, Agarwal, Sastry, Askell, Mishkin, Clark, Krueger, Sutskever; 2021 |
Draft Summary |
| Sun Nov 07 |
Learning Transferable Visual Models From Natural Language Supervision , Radford, Kim, Hallacy, Ramesh, Goh, Agarwal, Sastry, Askell, Mishkin, Clark, Krueger, Sutskever; 2021 |
Final Summary |