| Fri Sep 03 |
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , He, Zhang, Ren, Sun; 2015 |
Review both summaries |
| Sun Sep 12 |
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates , Smith, Topin; 2017 |
Coding |
| Wed Sep 15 |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , Ioffe, Szegedy; 2015 |
Draft Summary |
| Sun Sep 19 |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , Ioffe, Szegedy; 2015 |
Final Summary |
| Wed Sep 22 |
A Primer in BERTology: What we know about how BERT works , Rogers, Kovaleva, Rumshisky; 2020 |
Draft Summary |
| Sun Sep 26 |
A Primer in BERTology: What we know about how BERT works , Rogers, Kovaleva, Rumshisky; 2020 |
Final Summary |
| Fri Oct 01 |
Linformer: Self-Attention with Linear Complexity , Wang, Li, Khabsa, Fang, Ma; 2020 |
Review both summaries |
| Sun Oct 10 |
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions , Wang, Xie, Li, Fan, Song, Liang, Lu, Luo, Shao; 2021 |
Coding |
| Wed Oct 13 |
Occupancy Networks: Learning 3D Reconstruction in Function Space , Mescheder, Oechsle, Niemeyer, Nowozin, Geiger; 2018 |
Draft Summary |
| Sun Oct 17 |
Occupancy Networks: Learning 3D Reconstruction in Function Space , Mescheder, Oechsle, Niemeyer, Nowozin, Geiger; 2018 |
Final Summary |
| Wed Oct 20 |
Objects as Points , Zhou, Wang, Krähenbühl; 2019 |
Draft Summary |
| Sun Oct 24 |
Objects as Points , Zhou, Wang, Krähenbühl; 2019 |
Final Summary |
| Fri Oct 29 |
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection , Zhou, Tuzel; 2017 |
Review both summaries |
| Sun Nov 07 |
Learning Transferable Visual Models From Natural Language Supervision , Radford, Kim, Hallacy, Ramesh, Goh, Agarwal, Sastry, Askell, Mishkin, Clark, Krueger, Sutskever; 2021 |
Coding |