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Update JULAIN Journal Club
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Mar 17, 2021
by
Susanne Wenzel
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## Next Meeting
### 19 April 2021 Model uncertainty
*
A Simple Baseline for Bayesian Uncertainty in Deep Learning
<br>
Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson
<br>
Neurisp 2019
<br>
https://proceedings.neurips.cc/paper/2019/file/118921efba23fc329e6560b27861f0c2-Paper.pdf
<br>
9 pages
*
A General Framework for Uncertainty Estimation in Deep Learning, IEEE Robotics and Automation Letters
A Loquercio, M Segù, D. Scaramuzza, 2020,
https://arxiv.org/pdf/1907.06890.pdf
8 pages
Supplement: https://proceedings.neurips.cc/paper/2017/hash/9ef2ed4b7fd2c810847ffa5fa85bce38-Abstract.html
## Schedule for upcoming Meetings
tbd
## Past Meetings
### 15 March 2021 Model uncertainty
Virtual Meeting using
[
BigBlueButton
](
https://webconf.fz-juelich.de/b/wen-mym-pj7
)
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@@ -39,24 +60,6 @@ Intro by Clara Betancourt (JSC)
Reference to Dropout for Bayesian Approximation: http://proceedings.mlr.press/v48/gal16-supp.pdf
<br>
https://github.com/yaringal/DropoutUncertaintyExps
## Schedule for upcoming Meetings
### 19 April 2021 Model uncertainty
*
A Simple Baseline for Bayesian Uncertainty in Deep Learning
<br>
Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson
<br>
Neurisp 2019
<br>
https://proceedings.neurips.cc/paper/2019/file/118921efba23fc329e6560b27861f0c2-Paper.pdf
<br>
9 pages
*
A General Framework for Uncertainty Estimation in Deep Learning, IEEE Robotics and Automation Letters
A Loquercio, M Segù, D. Scaramuzza, 2020,
https://arxiv.org/pdf/1907.06890.pdf
8 pages
Supplement: https://proceedings.neurips.cc/paper/2017/hash/9ef2ed4b7fd2c810847ffa5fa85bce38-Abstract.html
## Past Meetings
### 22 February 2021 Explainable Machine Learning
*
Unmasking Clever Hans predictors and assessing what machines really learn
<br>
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