| Wed Sep 01 |
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , Clevert, Unterthiner, Hochreiter; 2015 |
Draft Summary |
| Sun Sep 05 |
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , Clevert, Unterthiner, Hochreiter; 2015 |
Final Summary |
| Wed Sep 08 |
On the Convergence of Adam and Beyond , Reddi, Kale, Kumar; 2019 |
Draft Summary |
| Sun Sep 12 |
On the Convergence of Adam and Beyond , Reddi, Kale, Kumar; 2019 |
Final Summary |
| Fri Sep 17 |
Instance Normalization: The Missing Ingredient for Fast Stylization , Ulyanov, Vedaldi, Lempitsky; 2016 |
Review both summaries |
| Sun Sep 26 |
Language Models are Few-Shot Learners , Brown, Mann, Ryder, Subbiah, Kaplan, Dhariwal, Neelakantan, Shyam, Sastry, Askell, Agarwal, Herbert-Voss, Krueger, Henighan, Child, Ramesh, Ziegler, Wu, Winter, Hesse, Chen, Sigler, Litwin, Gray, Chess, Clark, Berner, McCandlish, Radford, Sutskever, Amodei; 2020 |
Coding |
| Wed Sep 29 |
Rethinking Attention with Performers , Choromanski, Likhosherstov, Dohan, Song, Gane, Sarlos, Hawkins, Davis, Mohiuddin, Kaiser, Belanger, Colwell, Weller; 2020 |
Draft Summary |
| Sun Oct 03 |
Rethinking Attention with Performers , Choromanski, Likhosherstov, Dohan, Song, Gane, Sarlos, Hawkins, Davis, Mohiuddin, Kaiser, Belanger, Colwell, Weller; 2020 |
Final Summary |
| Wed Oct 06 |
Perceiver IO: A General Architecture for Structured Inputs & Outputs , Jaegle, Borgeaud, Alayrac, Doersch, Ionescu, Ding, Koppula, Zoran, Brock, Shelhamer, Hénaff, Botvinick, Zisserman, Vinyals, Carreira; 2021 |
Draft Summary |
| Sun Oct 10 |
Perceiver IO: A General Architecture for Structured Inputs & Outputs , Jaegle, Borgeaud, Alayrac, Doersch, Ionescu, Ding, Koppula, Zoran, Brock, Shelhamer, Hénaff, Botvinick, Zisserman, Vinyals, Carreira; 2021 |
Final Summary |
| Fri Oct 15 |
Implicit Neural Representations with Periodic Activation Functions , Sitzmann, Martel, Bergman, Lindell, Wetzstein; 2020 |
Review both summaries |
| Sun Oct 24 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection , Zhu, Su, Lu, Li, Wang, Dai; 2020 |
Coding |
| Wed Oct 27 |
PointPillars: Fast Encoders for Object Detection from Point Clouds , Lang, Vora, Caesar, Zhou, Yang, Beijbom; 2018 |
Draft Summary |
| Sun Oct 31 |
PointPillars: Fast Encoders for Object Detection from Point Clouds , Lang, Vora, Caesar, Zhou, Yang, Beijbom; 2018 |
Final Summary |
| Wed Nov 03 |
Decoupling Representation and Classifier for Long-Tailed Recognition , Kang, Xie, Rohrbach, Yan, Gordo, Feng, Kalantidis; 2019 |
Draft Summary |
| Sun Nov 07 |
Decoupling Representation and Classifier for Long-Tailed Recognition , Kang, Xie, Rohrbach, Yan, Gordo, Feng, Kalantidis; 2019 |
Final Summary |