| Wed Sep 01 |
Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 |
Draft Summary |
| Sun Sep 05 |
Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 |
Final Summary |
| Wed Sep 08 |
Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 |
Draft Summary |
| Sun Sep 12 |
Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 |
Final Summary |
| Fri Sep 17 |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , Ioffe, Szegedy; 2015 |
Review both summaries |
| Sun Sep 26 |
Neural Machine Translation by Jointly Learning to Align and Translate , Bahdanau, Cho, Bengio; 2014 |
Coding |
| Wed Sep 29 |
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 |
Draft Summary |
| Sun Oct 03 |
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 |
Final Summary |
| Wed Oct 06 |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , Dosovitskiy, Beyer, Kolesnikov, Weissenborn, Zhai, Unterthiner, Dehghani, Minderer, Heigold, Gelly, Uszkoreit, Houlsby; 2020 |
Draft Summary |
| Sun Oct 10 |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , Dosovitskiy, Beyer, Kolesnikov, Weissenborn, Zhai, Unterthiner, Dehghani, Minderer, Heigold, Gelly, Uszkoreit, Houlsby; 2020 |
Final Summary |
| Fri Oct 15 |
Occupancy Networks: Learning 3D Reconstruction in Function Space , Mescheder, Oechsle, Niemeyer, Nowozin, Geiger; 2018 |
Review both summaries |
| Sun Oct 24 |
Focal Loss for Dense Object Detection , Lin, Goyal, Girshick, He, Dollár; 2017 |
Coding |
| Wed Oct 27 |
PointNet: Deep Learning on Point Sets for 3D Classification and |
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| Segmentation , Qi, Su, Mo, Guibas; 2016 |
Draft Summary |
|
| Sun Oct 31 |
PointNet: Deep Learning on Point Sets for 3D Classification and |
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| Segmentation , Qi, Su, Mo, Guibas; 2016 |
Final Summary |
|
| Wed Nov 03 |
Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 |
Draft Summary |
| Sun Nov 07 |
Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 |
Final Summary |