Elias Lampietti's schedule

When Paper What
Wed Sep 01 Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 Draft Summary
Sun Sep 05 Understanding the difficulty of training deep feedforward neural networks , Glorot, Bengio; 2010 Final Summary
Wed Sep 08 Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 Draft Summary
Sun Sep 12 Large-Scale Machine Learning with Stochastic Gradient Descent , Bottou; 2010 Final Summary
Fri Sep 17 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , Ioffe, Szegedy; 2015 Review both summaries
Sun Sep 26 Neural Machine Translation by Jointly Learning to Align and Translate , Bahdanau, Cho, Bengio; 2014 Coding
Wed Sep 29 Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 Draft Summary
Sun Oct 03 Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context , Dai, Yang, Yang, Carbonell, Le, Salakhutdinov; 2019 Final Summary
Wed Oct 06 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , Dosovitskiy, Beyer, Kolesnikov, Weissenborn, Zhai, Unterthiner, Dehghani, Minderer, Heigold, Gelly, Uszkoreit, Houlsby; 2020 Draft Summary
Sun Oct 10 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , Dosovitskiy, Beyer, Kolesnikov, Weissenborn, Zhai, Unterthiner, Dehghani, Minderer, Heigold, Gelly, Uszkoreit, Houlsby; 2020 Final Summary
Fri Oct 15 Occupancy Networks: Learning 3D Reconstruction in Function Space , Mescheder, Oechsle, Niemeyer, Nowozin, Geiger; 2018 Review both summaries
Sun Oct 24 Focal Loss for Dense Object Detection , Lin, Goyal, Girshick, He, Dollár; 2017 Coding
Wed Oct 27 PointNet: Deep Learning on Point Sets for 3D Classification and  
Segmentation , Qi, Su, Mo, Guibas; 2016 Draft Summary  
Sun Oct 31 PointNet: Deep Learning on Point Sets for 3D Classification and  
Segmentation , Qi, Su, Mo, Guibas; 2016 Final Summary  
Wed Nov 03 Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 Draft Summary
Sun Nov 07 Momentum Contrast for Unsupervised Visual Representation Learning , He, Fan, Wu, Xie, Girshick; 2019 Final Summary