Samantha Hay's schedule

When Paper What
Fri Sep 03 Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 Review both summaries
Sun Sep 12 Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 Coding
Wed Sep 15 Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , Salimans, Kingma; 2016 Draft Summary
Sun Sep 19 Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , Salimans, Kingma; 2016 Final Summary
Wed Sep 22 Attention Is All You Need , Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin; 2017 Draft Summary
Sun Sep 26 Attention Is All You Need , Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin; 2017 Final Summary
Fri Oct 01 Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 Review both summaries
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 Coding
Wed Oct 13 Implicit Geometric Regularization for Learning Shapes , Gropp, Yariv, Haim, Atzmon, Lipman; 2020 Draft Summary
Sun Oct 17 Implicit Geometric Regularization for Learning Shapes , Gropp, Yariv, Haim, Atzmon, Lipman; 2020 Final Summary
Wed Oct 20 Mask R-CNN , He, Gkioxari, Dollár, Girshick; 2017 Draft Summary
Sun Oct 24 Mask R-CNN , He, Gkioxari, Dollár, Girshick; 2017 Final Summary
Fri Oct 29 PointNet: Deep Learning on Point Sets for 3D Classification and  
Segmentation , Qi, Su, Mo, Guibas; 2016 Review both summaries  
Sun Nov 07 Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 Coding