Ojas Patel's schedule

When Paper What
Sun Sep 05 Mish: A Self Regularized Non-Monotonic Activation Function , Misra; 2019 Coding
Fri Sep 10 Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 Review both summaries
Wed Sep 15 Dropout: A Simple Way to Prevent Neural Networks from Overfitting , Srivastava, Hinton, Krizhevsky, Sutskever, Salakhutdinov; 2014 Draft Summary
Sun Sep 19 Dropout: A Simple Way to Prevent Neural Networks from Overfitting , Srivastava, Hinton, Krizhevsky, Sutskever, Salakhutdinov; 2014 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
Sun Oct 03 Big Bird: Transformers for Longer Sequences , Zaheer, Guruganesh, Dubey, Ainslie, Alberti, Ontanon, Pham, Ravula, Wang, Yang, Ahmed; 2020 Coding
Fri Oct 08 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 Review both summaries
Wed Oct 13 DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , Park, Florence, Straub, Newcombe, Lovegrove; 2019 Draft Summary
Sun Oct 17 DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , Park, Florence, Straub, Newcombe, Lovegrove; 2019 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
Sun Oct 31 Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object  
Detection for Autonomous Driving , Wang, Chao, Garg, Hariharan, Campbell, Weinberger; 2018 Coding  
Fri Nov 05 Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 Review both summaries