Zayne Sprague's schedule

When Paper What
Wed Sep 01 Maxout Networks , Goodfellow, Warde-Farley, Mirza, Courville, Bengio; 2013 Draft Summary
Sun Sep 05 Maxout Networks , Goodfellow, Warde-Farley, Mirza, Courville, Bengio; 2013 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
Sun Sep 19 Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , Salimans, Kingma; 2016 Coding
Fri Sep 24 End-To-End Memory Networks , Sukhbaatar, Szlam, Weston, Fergus; 2015 Review both summaries
Wed Sep 29 Compressive Transformers for Long-Range Sequence Modelling , Rae, Potapenko, Jayakumar, Lillicrap; 2019 Draft Summary
Sun Oct 03 Compressive Transformers for Long-Range Sequence Modelling , Rae, Potapenko, Jayakumar, Lillicrap; 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
Sun Oct 17 Implicit Geometric Regularization for Learning Shapes , Gropp, Yariv, Haim, Atzmon, Lipman; 2020 Coding
Fri Oct 22 Cascade R-CNN: Delving into High Quality Object Detection , Cai, Vasconcelos; 2017 Review both summaries
Wed Oct 27 Dynamic Graph CNN for Learning on Point Clouds , Wang, Sun, Liu, Sarma, Bronstein, Solomon; 2018 Draft Summary
Sun Oct 31 Dynamic Graph CNN for Learning on Point Clouds , Wang, Sun, Liu, Sarma, Bronstein, Solomon; 2018 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