prosem2/slides.tex

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\begin{document}
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\titlepage
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\section{Organisation}
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\frametitle{Today}
\begin{columns}
\begin{column}{.475\textwidth}
\begin{itemize}
\item Kick-Off Meeting
\item Some Formalities
\item Short Overview of the Topics
\end{itemize}
\end{column}
\begin{column}{.475\textwidth}
\begin{itemize}
\item Organised by
\item Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)
\item Simon Klüttermann (simon.kluettermann@cs.tu-dortmund.de)
\end{itemize}
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\frametitle{Objective of this Seminar}
\begin{itemize}
\item Introduction to some fundamental research problems
\begin{itemize}
\item Researching current scientific ideas
\item Understanding benefits and drawbacks of state-of-the-art techniques
\item Writing a clear and concisive scientific report
\item Presenting and discussing your findings
\end{itemize}
\end{itemize}
\rightarrow Great start for a bachelor thesis.... \rightarrow maybe just talk to your supervisor about this
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\frametitle{Timeline}
\begin{enumerate}
\item Kick-Off Meeting
\item Choose Topics till 10.10.2022
\item Talk to your supervisor once till 01.11.2022
\item 5min Presentations of your Topic on 01.11.2022
\item Write your abstract till 15.11.2022
\item Presentation in Class (Last week of January)
\item Discussion of your Findings (afterwards)
\item Writing of your Report (till two weeks later)
\end{enumerate}
\begin{itemize}
\item All parts required!
\end{itemize}
\vspace{3em}
\begin{itemize}
\item Everything will be done in english. If this is a problem for you, please write us.
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\frametitle{Tasks of this Seminar}
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% \item Required: willingless to learn something new
% \item Also useful: A basic understanding of machine learning, statistics and linear algebra
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\begin{enumerate}
\item Choose a couple of topics from our list, you will be assigned to one of them
\item Read and understand the chapter/paper given to you
\item Find, read and understand related literature. It is probably impossible to get a good picture about your topic from just one paper (and chapter)
\item Critically analyze the suggested ideas and compare them to the literature
\end{enumerate}
\begin{itemize}
\item Presentation course (included):
\begin{itemize}
\item 5min presentation of your topic
\item Write an abstract and get feedback
\end{itemize}
\item Final Results:
\begin{itemize}
\item Presentation (25-30min +10min discussion)
\item Written Report (at least 6 Pages double column, ACM template)
\end{itemize}
\end{itemize}
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\frametitle{Research Culture}
This course is Research oriented
\begin{itemize}
\item Feel free to ask as many Questions as you want
\item If you want to discuss your Topic with somebody, make an appointment with your Supervisor (suggestion: Every 2 weeks!)
\item the same holds for your Presentation/Report
\item Any Feedback is always appreciated
\end{itemize}
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\section{Topics}
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\frametitle{Topics}
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\begin{column}{0.625\textwidth}
\begin{itemize}
\item Based on the Book "Interpretable Machine Learning" by Christoph Molnar
\item Freely available at christophm.github.io/interpretable-ml-book
\end{itemize}
\begin{itemize}
\item Some Topics contain programming assignments. We suggest using google colab for these.
\end{itemize}
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\begin{center}
\includegraphics[height=5cm]{illustrations/book.png}
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\begin{frame}
\begin{center}
\begin{table}[]
\begin{tabular}{|l|l|l|l|}
\hline
1: Why IML & 2: How IML & 3: Linear ML & 4: Trees \\ \hline
5: Rules & 6: PDP & 7: ALE & 8: Interactions \\ \hline
9: Decomposition & 10: Permutations & 11: Surrogates & 12: Prototypes \\ \hline
13: ICE & 14: Counterfactuals & 15: Shapley Values & 16: Learned Features \\ \hline
17: Saliency Maps & 18: Concepts & 19: Adversarials & 20: Influential Instances \\ \hline
\end{tabular}
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% \item 1: Prototypes
% \item 2: Adversarial Examples
% \item 3: Pixel Attribution
% \item 4: Shapley Values
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\end{document}