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A campus-wide Journal Club covering topics of machine and deep learning. Everybody is cordially invited to join!
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We discuss most recent papers from the field, e.g., recent network architectures and their applications. For each meeting we pick two papers, everybody reads them and prepares his/her questions and comments. In the Journal Club there will be a short intro to the papers followed by a joint discussion.
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Each participant may propose papers to read next. The final selection is made through a vote.
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We discuss most recent papers from the field, e.g., recent network architectures and their applications.
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[list of papers](https://pollunit.com/polls/rv2i7dcktuaxufmndpu86q) - to vote and to propose new readings
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When: **every 3rd Monday of the month, 10pm**
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If you’re interested in more details about the Journal Club, please subscribe for the mailinglist at https://lists.fz-juelich.de/mailman/listinfo/julain_journal_club
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For each meeting we pick two papers, everybody reads them and prepares his/her questions and comments. In the Journal Club there will be a short intro to the papers followed by a joint discussion.
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Each participant may propose papers to read next. The final selection is made through a vote.
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## Organization
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From October 2021 on, we try a new organizational scheme.
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We maintain an interactive voting list of papers, where everybody at any time can propose papers to read and can vote on papers in the list. Next papers to discuss will be selected from this list.<br>
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** ==> [list of papers](https://pollunit.com/polls/rv2i7dcktuaxufmndpu86)**
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We setup a circle of people - the Orga Team - who are committed to the Journal Club and take responsibility for one of the next Journal Clubs.
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For each Journal Club, a team member selects one of the top papers from the [reading list](https://pollunit.com/polls/rv2i7dcktuaxufmndpu86q), and takes care to have someone to give an introduction to the paper and moderating the meeting.
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The Orga Team is by no means a closed circle, new members are welcome at any time.
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### The Orga Team and responsibilities
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* Oct 18, 2021: Clara Betancourt, Karim Mache, Bing Gong (JSC, Earth System Data Exploration Group (ESDE) )
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* Nov 15, 2021: Jenia Jitsev (JSC, Cross Sectional Team Deep Learning (CST-DL))
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* Dec 20, 2021: Stefan Kesselheim (JSC, Helmholtz AI Consultant Team)
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* Jan 17, 2022: Emre Neftci (PGI-15, Neuromorphic Software Ecosystems)
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* Feb 21, 2022: Hanno Scharr (Data Analytics and Machine Learning, IAS-8)
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* Mar 21, 2022: Tobias Tesch (IBG-3, Agrosphere)
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* Apr 18, 2022: Susanne Wenzel (INM-1, Big Data Analytics Group)
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### How to select papers
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tbd
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## Next Meeting
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### 20 September 2021 Few-Shot Learning
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---
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last change: 16.8.2021 sw |
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\ No newline at end of file |
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last change: 11.10.2021 sw |
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\ No newline at end of file |
