Jay Liao'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 Cyclical Learning Rates for Training Neural Networks , Smith; 2015 Draft Summary
Sun Sep 12 Cyclical Learning Rates for Training Neural Networks , Smith; 2015 Final Summary
Fri Sep 17 Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , Salimans, Kingma; 2016 Review both summaries
Sun Sep 26 Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , Chung, Gulcehre, Cho, Bengio; 2014 Coding
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 BEiT: BERT Pre-Training of Image Transformers , Bao, Dong, Wei; 2021 Draft Summary
Sun Oct 10 BEiT: BERT Pre-Training of Image Transformers , Bao, Dong, Wei; 2021 Final Summary
Fri Oct 15 Implicit Geometric Regularization for Learning Shapes , Gropp, Yariv, Haim, Atzmon, Lipman; 2020 Review both summaries
Sun Oct 24 You Only Look Once: Unified, Real-Time Object Detection , Redmon, Divvala, Girshick, Farhadi; 2015 Coding
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 VirTex: Learning Visual Representations from Textual Annotations , Desai, Johnson; 2020 Draft Summary
Sun Nov 07 VirTex: Learning Visual Representations from Textual Annotations , Desai, Johnson; 2020 Final Summary