Update JULAIN Journal Club authored by Susanne Wenzel's avatar Susanne Wenzel
......@@ -28,16 +28,16 @@ For each Journal Club, a team member selects one of the top papers from the [rea
The Orga Team is by no means a closed circle, new members are welcome at any time.
### The Orga Team and responsibilities
* May 16, 2022: Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
* Jun 20, 2022: Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
* Summer Break to be decided
* Hanno Scharr (Data Analytics and Machine Learning, IAS-8)
* Emre Neftci (PGI-15, Neuromorphic Software Ecosystems)
* Susanne Wenzel (INM-1, Big Data Analytics Group)
* Clara Betancourt, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
* Tobias Tesch (IBG-3, Agrosphere)
* Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
* Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
* January 22 Emre Neftci (PGI-15, Neuromorphic Software Ecosystems)
* February 22 Susanne Wenzel (INM-1, Big Data Analytics Group)
* March 22 Clara Betancourt, Karim Mache, Bing Gong, Scarlet Stadtler (JSC, Earth System Data Exploration Group (ESDE) )
* April 22 Tobias Tesch (IBG-3, Agrosphere)
* May 22 Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
* June 22 Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
### How to select papers
tbd
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## Next Meeting
### 16 May 2022
### 20 June 2022
Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj7)
* **Hopfield Networks is All You Need** <br>
Ramsauer et al. ICLR 2021<br>
[[paper](https://arxiv.org/abs/2008.02217)]
[[openreview](https://openreview.net/forum?id=tL89RnzIiCd)]
## Past Meetings
### 16 May 2022
* **OPT: Open Pre-trained Transformer Language Models** <br>
S Zhang et al. 2022<br>
[[link](https://arxiv.org/abs/2205.01068]) [[BlogPost]( https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/)]
* Intro: Stefan Kesselheim
## Past Meetings
### 25 April 2022 (moved from 18 April due to Easter!)
* **Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations** <br>
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