JULAIN-Journal-Club.md

@@ -44,15 +44,13 @@ Code: https://github.com/TobyPDE/FRRN
    * Deep High-Resolution Representation Learning for Visual Recognition, Wang et al.<br>
 Paper: https://arxiv.org/abs/1908.07919<br>
 Code: https://paperswithcode.com/paper/deep-high-resolution-representation-learning-2
-
-
-* ~~17.12.2019 Christian Schiffer~~
+* ~~17.12.2019 Christian Schiffer~~<br>
+==> updated by 22.1.2020
    * ~~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)~~  
-   * ==> updated by 22.1.2020
 * 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> 
@@ -63,12 +61,12 @@ A training schedule using filter pruning and orthogonal reinitialization
 
 ### Done
 
-* 17.12.2019 Joshua Scheidt<br>
-   * <span style="color:green"> Multi-Context Recurrent Neural Networks for Time Series Applications <br>
-https://publications.waset.org/3524/pdf</span>
-   * <span style="color:green"> Global Sparse Momentum SGD for Pruning Very Deep Neural Networks <br>
+* 17.12.2019 Joshua Scheidt
+   * Multi-Context Recurrent Neural Networks for Time Series Applications <br>
+https://publications.waset.org/3524/pdf
+   * Global Sparse Momentum SGD for Pruning Very Deep Neural Networks <br>
 https://arxiv.org/pdf/1909.12778v3.pdf
-   * ==> Journal Club 20 January 2020</span>
+   * ==> Journal Club 20 January 2020