| Sun Sep 05 |
Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 |
Coding |
| Fri Sep 10 |
ADADELTA: An Adaptive Learning Rate Method , Zeiler; 2012 |
Review both summaries |
| Wed Sep 15 |
High-Performance Large-Scale Image Recognition Without Normalization , Brock, De, Smith, Simonyan; 2021 |
Draft Summary |
| Sun Sep 19 |
High-Performance Large-Scale Image Recognition Without Normalization , Brock, De, Smith, Simonyan; 2021 |
Final Summary |
| Wed Sep 22 |
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 |
Draft Summary |
| 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 |
Final Summary |
| Sun Oct 03 |
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 |
Coding |
| Fri Oct 08 |
Transformer in Transformer , Han, Xiao, Wu, Guo, Xu, Wang; 2021 |
Review both summaries |
| Wed Oct 13 |
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis , Mildenhall, Srinivasan, Tancik, Barron, Ramamoorthi, Ng; 2020 |
Draft Summary |
| Sun Oct 17 |
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis , Mildenhall, Srinivasan, Tancik, Barron, Ramamoorthi, Ng; 2020 |
Final Summary |
| Wed Oct 20 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection , Zhu, Su, Lu, Li, Wang, Dai; 2020 |
Draft Summary |
| Sun Oct 24 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection , Zhu, Su, Lu, Li, Wang, Dai; 2020 |
Final Summary |
| Sun Oct 31 |
PointNet: Deep Learning on Point Sets for 3D Classification and |
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| Segmentation , Qi, Su, Mo, Guibas; 2016 |
Coding |
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| Fri Nov 05 |
Large-Scale Long-Tailed Recognition in an Open World , Liu, Miao, Zhan, Wang, Gong, Yu; 2019 |
Review both summaries |