Zhou Fang'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	On the importance of initialization and momentum in deep learning , Sutskever, Martens, Dahl, Hinton; 2013	Draft Summary
Sun Sep 12	On the importance of initialization and momentum in deep learning , Sutskever, Martens, Dahl, Hinton; 2013	Final Summary
Fri Sep 17	Understanding Batch Normalization , Bjorck, Gomes, Selman, Weinberger; 2018	Review both summaries
Sun Sep 26	Attention Is All You Need , Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin; 2017	Coding
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	Training data-efficient image transformers & distillation through attention , Touvron, Cord, Douze, Massa, Sablayrolles, Jégou; 2020	Draft Summary
Sun Oct 10	Training data-efficient image transformers & distillation through attention , Touvron, Cord, Douze, Massa, Sablayrolles, Jégou; 2020	Final Summary
Fri Oct 15	Baking Neural Radiance Fields for Real-Time View Synthesis , Hedman, Srinivasan, Mildenhall, Barron, Debevec; 2021	Review both summaries
Sun Oct 24	Mask R-CNN , He, Gkioxari, Dollár, Girshick; 2017	Coding
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	A Simple Framework for Contrastive Learning of Visual Representations , Chen, Kornblith, Norouzi, Hinton; 2020	Draft Summary
Sun Nov 07	A Simple Framework for Contrastive Learning of Visual Representations , Chen, Kornblith, Norouzi, Hinton; 2020	Final Summary