Ishank Arora's schedule

When Paper What
Wed Sep 01 Deep Sparse Rectifier Neural Networks , Glorot, Bordes, Bengio; 2011 Draft Summary
Sun Sep 05 Deep Sparse Rectifier Neural Networks , Glorot, Bordes, Bengio; 2011 Final Summary
Wed Sep 08 Adam: A Method for Stochastic Optimization , Kingma, Ba; 2014 Draft Summary
Sun Sep 12 Adam: A Method for Stochastic Optimization , Kingma, Ba; 2014 Final Summary
Sun Sep 19 Layer Normalization , Ba, Kiros, Hinton; 2016 Coding
Fri Sep 24 Attention Is All You Need , Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin; 2017 Review both summaries
Wed Sep 29 Generating Long Sequences with Sparse Transformers , Child, Gray, Radford, Sutskever; 2019 Draft Summary
Sun Oct 03 Generating Long Sequences with Sparse Transformers , Child, Gray, Radford, Sutskever; 2019 Final Summary
Wed Oct 06 Perceiver: General Perception with Iterative Attention , Jaegle, Gimeno, Brock, Zisserman, Vinyals, Carreira; 2021 Draft Summary
Sun Oct 10 Perceiver: General Perception with Iterative Attention , Jaegle, Gimeno, Brock, Zisserman, Vinyals, Carreira; 2021 Final Summary
Sun Oct 17 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains , Tancik, Srinivasan, Mildenhall, Fridovich-Keil, Raghavan, Singhal, Ramamoorthi, Barron, Ng; 2020 Coding
Fri Oct 22 Mask R-CNN , He, Gkioxari, Dollár, Girshick; 2017 Review both summaries
Wed Oct 27 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric  
Space , Qi, Yi, Su, Guibas; 2017 Draft Summary  
Sun Oct 31 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric  
Space , Qi, Yi, Su, Guibas; 2017 Final Summary  
Wed Nov 03 Class-Balanced Loss Based on Effective Number of Samples , Cui, Jia, Lin, Song, Belongie; 2019 Draft Summary
Sun Nov 07 Class-Balanced Loss Based on Effective Number of Samples , Cui, Jia, Lin, Song, Belongie; 2019 Final Summary