Srinath Tankasala's schedule

When Paper What
Wed Sep 01 Rectifier Nonlinearities Improve Neural Network Acoustic Models , Maas, Hannun, Ng; 2013 Draft Summary
Sun Sep 05 Rectifier Nonlinearities Improve Neural Network Acoustic Models , Maas, Hannun, Ng; 2013 Final Summary
Wed Sep 08 ADADELTA: An Adaptive Learning Rate Method , Zeiler; 2012 Draft Summary
Sun Sep 12 ADADELTA: An Adaptive Learning Rate Method , Zeiler; 2012 Final Summary
Fri Sep 17 Group Normalization , Wu, He; 2018 Review both summaries
Sun Sep 26 Sequence to Sequence Learning with Neural Networks , Sutskever, Vinyals, Le; 2014 Coding
Wed Sep 29 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention , Katharopoulos, Vyas, Pappas, Fleuret; 2020 Draft Summary
Sun Oct 03 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention , Katharopoulos, Vyas, Pappas, Fleuret; 2020 Final Summary
Wed Oct 06 Transformer in Transformer , Han, Xiao, Wu, Guo, Xu, Wang; 2021 Draft Summary
Sun Oct 10 Transformer in Transformer , Han, Xiao, Wu, Guo, Xu, Wang; 2021 Final Summary
Fri Oct 15 Learning Continuous Image Representation with Local Implicit Image Function , Chen, Liu, Wang; 2020 Review both summaries
Sun Oct 24 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , Ren, He, Girshick, Sun; 2015 Coding
Wed Oct 27 Point Transformer , Zhao, Jiang, Jia, Torr, Koltun; 2020 Draft Summary
Sun Oct 31 Point Transformer , Zhao, Jiang, Jia, Torr, Koltun; 2020 Final Summary
Wed Nov 03 Large-Scale Long-Tailed Recognition in an Open World , Liu, Miao, Zhan, Wang, Gong, Yu; 2019 Draft Summary
Sun Nov 07 Large-Scale Long-Tailed Recognition in an Open World , Liu, Miao, Zhan, Wang, Gong, Yu; 2019 Final Summary