's schedule

When Paper What
Wed Sep 01 Searching for Activation Functions , Ramachandran, Zoph, Le; 2017 Draft Summary
Sun Sep 05 Searching for Activation Functions , Ramachandran, Zoph, Le; 2017 Final Summary
Wed Sep 08 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , Duchi, Hazan, Singer; 2011 Draft Summary
Sun Sep 12 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , Duchi, Hazan, Singer; 2011 Final Summary
Sun Sep 19 Rethinking “Batch” in BatchNorm , Wu, Johnson; 2021 Coding
Fri Sep 24 Language Models are Few-Shot Learners , Brown, Mann, Ryder, Subbiah, Kaplan, Dhariwal, Neelakantan, Shyam, Sastry, Askell, Agarwal, Herbert-Voss, Krueger, Henighan, Child, Ramesh, Ziegler, Wu, Winter, Hesse, Chen, Sigler, Litwin, Gray, Chess, Clark, Berner, McCandlish, Radford, Sutskever, Amodei; 2020 Review both summaries
Wed Sep 29 Longformer: The Long-Document Transformer , Beltagy, Peters, Cohan; 2020 Draft Summary
Sun Oct 03 Longformer: The Long-Document Transformer , Beltagy, Peters, Cohan; 2020 Final Summary
Wed Oct 06 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows , Liu, Lin, Cao, Hu, Wei, Zhang, Lin, Guo; 2021 Draft Summary
Sun Oct 10 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows , Liu, Lin, Cao, Hu, Wei, Zhang, Lin, Guo; 2021 Final Summary
Sun Oct 17 GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields , Niemeyer, Geiger; 2020 Coding
Fri Oct 22 Deformable DETR: Deformable Transformers for End-to-End Object Detection , Zhu, Su, Lu, Li, Wang, Dai; 2020 Review both summaries
Wed Oct 27 PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud , Shi, Wang, Li; 2018 Draft Summary
Sun Oct 31 PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud , Shi, Wang, Li; 2018 Final Summary
Wed Nov 03 Towards Open Set Deep Networks , Bendale, Boult; 2015 Draft Summary
Sun Nov 07 Towards Open Set Deep Networks , Bendale, Boult; 2015 Final Summary