JULAIN-Journal-Club.md

@@ -30,6 +30,32 @@ Our first Journal Club will cover two papers from ICCV 2019 about GANs.
 * COCO-GAN: Generation by Parts via Conditional Coordinating <br>
 full paper and supplementary material available at https://hubert0527.github.io/COCO-GAN/
 
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+## Archive paper proposals
+* 17.12.2019 Joshua Scheidt<br>
+   * <span style="color:gray"> Multi-Context Recurrent Neural Networks for Time Series Applications <br>
+https://publications.waset.org/3524/pdf</span>
+   * <span style="color:gray"> Global Sparse Momentum SGD for Pruning Very Deep Neural Networks <br>
+https://arxiv.org/pdf/1909.12778v3.pdf
+   * ==> Journal Club 20 January 2020</span>
+* 17.12.2019 Christian Schiffer
+   * Deep High-Resolution Representation Learning for Visual Recognition <br>
+https://arxiv.org/abs/1908.07919, Code: https://paperswithcode.com/paper/deep-high-resolution-representation-learning-2)<br>
+Human Pose Estimation+Semantic Segmentation+Object detection; SOTA Cityscapes Val, #3 best model PASCAL Context
+   * Multi-Scale Dense Networks for Resource Efficient Image Classification<br>
+https://arxiv.org/abs/1703.09844)
+* 17.12.2019 Hanno Scharr
+   * A General and Adaptive Robust Loss Function<br>
+Jonathan T. Barron, Google Research <br> http://openaccess.thecvf.com/content_CVPR_2019/papers/Barron_A_General_and_Adaptive_Robust_Loss_Function_CVPR_2019_paper.pdf<br> 
+Simple but effective for improving accuracy in regression tasks
+   * RePr: Improved Training of Convolutional Filters<br> 
+Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang, Brandeis and Microsoft <br> https://arxiv.org/abs/1811.07275<br> 
+A training schedule using filter pruning and orthogonal reinitialization
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