JULAIN-Journal-Club.md

@@ -13,38 +13,35 @@ If you’re interested in more details about the Journal Club, please subscribe
 
 ## Next Meeting
 
-### 20 July 2020 - Summer break
- 
-### 17 August 2020  - Attention Networks
+### 21 September 2020  - Attention Networks
 
 Venue:   if possible f2f INM seminar room, bldg. 15.9, room 4001b 
 alternatively online: https://webconf.fz-juelich.de/b/wen-mym-pj7
 
 * Attention Is All You Need
 Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin, NIPS 2017 
-https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf 
+https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf <br>
 9 pages
 * Self-Attention Generative Adversarial Networks
 Zhang, Goodfellow, Metaxas, Odena, ICML 2019
-https://arxiv.org/abs/1805.08318
+https://arxiv.org/abs/1805.08318<br>
 8 pages
  
 
 ## Schedule for upcoming Meetings
 
-
-### 21 September 2020 Self-Supervised Visual Representation Learning
+### 19 October 2020 Self-Supervised Visual Representation Learning
 
 Venue:   if possible f2f INM seminar room, bldg. 15.9, room 4001b 
 alternatively online: https://webconf.fz-juelich.de/b/wen-mym-pj7
 
 * A Simple Framework for Contrastive Learning of Visual Representations 
 T. Chen, S. Kornblith, M. Norouzi, and G. Hinton, 2020
-http://arxiv.org/abs/2002.05709
+http://arxiv.org/abs/2002.05709 <br>
 15 pages, incl appendix
 * Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey 
 L. Jing and Y. Tian, CVPR2019
-http://arxiv.org/abs/1902.06162
+http://arxiv.org/abs/1902.06162 <br>
 21 pages
 
 The first paper presents a state-of-the-art approach for self-supervised learning of strong visual features based on contrastive learning. Random data augmentation is applied to images from the ImageNet dataset and a model is trained to match augmented and original images. The second paper revisits several self-supervised training techniques for visual representation learning and offers a nice overview over different approaches.
@@ -52,6 +49,10 @@ The first paper presents a state-of-the-art approach for self-supervised learnin
 
 ## Past Meetings
 
+### 17 August 2020 - Canceled
+
+### 20 July 2020 - Summer break
+
 ### 15 June 2020 - Generative Adversarial Networks (and VAE)
 
 Venue:   JSC meetingroom 2, building 16.3; room 315