Ayush Chauhan's schedule

When Paper What
Sun Sep 05 Deep Sparse Rectifier Neural Networks , Glorot, Bordes, Bengio; 2011 Coding
Fri Sep 10 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , Duchi, Hazan, Singer; 2011 Review both summaries
Wed Sep 15 Layer Normalization , Ba, Kiros, Hinton; 2016 Draft Summary
Sun Sep 19 Layer Normalization , Ba, Kiros, Hinton; 2016 Final Summary
Wed Sep 22 Neural Machine Translation by Jointly Learning to Align and Translate , Bahdanau, Cho, Bengio; 2014 Draft Summary
Sun Sep 26 Neural Machine Translation by Jointly Learning to Align and Translate , Bahdanau, Cho, Bengio; 2014 Final Summary
Sun Oct 03 Generating Long Sequences with Sparse Transformers , Child, Gray, Radford, Sutskever; 2019 Coding
Fri Oct 08 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows , Liu, Lin, Cao, Hu, Wei, Zhang, Lin, Guo; 2021 Review both summaries
Wed Oct 13 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains , Tancik, Srinivasan, Mildenhall, Fridovich-Keil, Raghavan, Singhal, Ramamoorthi, Barron, Ng; 2020 Draft 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 Final Summary
Wed Oct 20 Focal Loss for Dense Object Detection , Lin, Goyal, Girshick, He, Dollár; 2017 Draft Summary
Sun Oct 24 Focal Loss for Dense Object Detection , Lin, Goyal, Girshick, He, Dollár; 2017 Final Summary
Sun Oct 31 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric  
Space , Qi, Yi, Su, Guibas; 2017 Coding  
Fri Nov 05 Towards Open Set Deep Networks , Bendale, Boult; 2015 Review both summaries