JULAIN-Journal-Club.md

@@ -18,19 +18,10 @@ If you’re interested in more details about the Journal Club, please subscribe
 
 ## Next Meeting
 
-### 21 December 2020 Explainable Machine Learning
+### 18 January 2021 Explainable Machine Learning
 
-Virtual Meeting at [BigBlueButton](https://webconf.fz-juelich.de/b/kes-say-qsa-b16)
+Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
 
-* Network Dissection: Quantifying Interpretability of Deep Visual Representations<br>
-David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba<br>
-https://netdissect.csail.mit.edu/ <br>
-CVPR 2017 paper, 8 pages
- 
-* GAN Dissection: Visualizing and Understanding Generative Adversarial Networks<br>
-David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba<br>
-https://gandissect.csail.mit.edu/ <br>
-ICLR 2019 paper, 10 pages
 
 
 
@@ -41,9 +32,19 @@ tbd
 
 ## Past Meetings
 
-### 16 November 2020 Explainable Machine Learning
+### 21 December 2020 Explainable Machine Learning
 
-Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
+* Network Dissection: Quantifying Interpretability of Deep Visual Representations<br>
+David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba<br>
+https://netdissect.csail.mit.edu/ <br>
+CVPR 2017 paper, 8 pages
+ 
+* GAN Dissection: Visualizing and Understanding Generative Adversarial Networks<br>
+David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba<br>
+https://gandissect.csail.mit.edu/ <br>
+ICLR 2019 paper, 10 pages
+
+### 16 November 2020 Explainable Machine Learning
 
 * R. Roscher, B. Bohn, M. F. Duarte and J. Garcke, "Explainable Machine Learning for Scientific Insights and Discoveries," in IEEE Access, vol. 8, pp. 42200-42216, 2020 https://doi.org/10.1109/ACCESS.2020.2976199