Nilesh Gupta's schedule

When Paper What
Fri Sep 03 Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , Saxe, McClelland, Ganguli; 2013 Review both summaries
Sun Sep 12 ADADELTA: An Adaptive Learning Rate Method , Zeiler; 2012 Coding
Wed Sep 15 Micro-Batch Training with Batch-Channel Normalization and Weight Standardization , Qiao, Wang, Liu, Shen, Yuille; 2019 Draft Summary
Sun Sep 19 Micro-Batch Training with Batch-Channel Normalization and Weight Standardization , Qiao, Wang, Liu, Shen, Yuille; 2019 Final Summary
Wed Sep 22 Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth , Dong, Cordonnier, Loukas; 2021 Draft Summary
Sun Sep 26 Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth , Dong, Cordonnier, Loukas; 2021 Final Summary
Fri Oct 01 Reformer: The Efficient Transformer , Kitaev, Kaiser, Levskaya; 2020 Review both summaries
Sun Oct 10 Transformer in Transformer , Han, Xiao, Wu, Guo, Xu, Wang; 2021 Coding
Wed Oct 13 NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections , Martin-Brualla, Radwan, Sajjadi, Barron, Dosovitskiy, Duckworth; 2020 Draft Summary
Sun Oct 17 NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections , Martin-Brualla, Radwan, Sajjadi, Barron, Dosovitskiy, Duckworth; 2020 Final Summary
Wed Oct 20 Deformable Convolutional Networks , Dai, Qi, Xiong, Li, Zhang, Hu, Wei; 2017 Draft Summary
Sun Oct 24 Deformable Convolutional Networks , Dai, Qi, Xiong, Li, Zhang, Hu, Wei; 2017 Final Summary
Fri Oct 29 PointCNN: Convolution On $\mathcal{X}$-Transformed Points , Li, Bu, Sun, Wu, Di, Chen; 2018 Review both summaries
Sun Nov 07 Large-Scale Long-Tailed Recognition in an Open World , Liu, Miao, Zhan, Wang, Gong, Yu; 2019 Coding