Sai Kiran Maddela's schedule

When Paper What
Fri Sep 03 Rectifier Nonlinearities Improve Neural Network Acoustic Models , Maas, Hannun, Ng; 2013 Review both summaries
Sun Sep 12 On the Convergence of Adam and Beyond , Reddi, Kale, Kumar; 2019 Coding
Wed Sep 15 Rethinking “Batch” in BatchNorm , Wu, Johnson; 2021 Draft Summary
Sun Sep 19 Rethinking “Batch” in BatchNorm , Wu, Johnson; 2021 Final Summary
Wed Sep 22 Sequence to Sequence Learning with Neural Networks , Sutskever, Vinyals, Le; 2014 Draft Summary
Sun Sep 26 Sequence to Sequence Learning with Neural Networks , Sutskever, Vinyals, Le; 2014 Final Summary
Fri Oct 01 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention , Katharopoulos, Vyas, Pappas, Fleuret; 2020 Review both summaries
Sun Oct 10 Perceiver IO: A General Architecture for Structured Inputs & Outputs , Jaegle, Borgeaud, Alayrac, Doersch, Ionescu, Ding, Koppula, Zoran, Brock, Shelhamer, Hénaff, Botvinick, Zisserman, Vinyals, Carreira; 2021 Coding
Wed Oct 13 GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields , Niemeyer, Geiger; 2020 Draft Summary
Sun Oct 17 GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields , Niemeyer, Geiger; 2020 Final Summary
Wed Oct 20 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , Ren, He, Girshick, Sun; 2015 Draft Summary
Sun Oct 24 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , Ren, He, Girshick, Sun; 2015 Final Summary
Fri Oct 29 Point Transformer , Zhao, Jiang, Jia, Torr, Koltun; 2020 Review both summaries
Sun Nov 07 Decoupling Representation and Classifier for Long-Tailed Recognition , Kang, Xie, Rohrbach, Yan, Gordo, Feng, Kalantidis; 2019 Coding