prosem/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}
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\begin{itemize}
\item We are very few
\item \rightarrow But this does not mean that we can't have a good seminar
\end{itemize}
\begin{itemize}
\item Organised by
\item Simon Klüttermann (simon.kluettermann@cs.tu-dortmund.de)
\item Chiara Balestra (chiara.balestra@cs.uni-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 Presentation in Class (Last week of June)
\item Discussion of your Findings (afterwards)
\item Writing of your Report (till 15.07.2022 23:59)
\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 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
\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}
\begin{columns}
\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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\subfile{topics/chiara.tex}
\subfile{topics/bin.tex}
\subfile{topics/benedikt.tex}
\subfile{topics/simon.tex}
%\begin{frame}
%\begin{center}
%\begin{table}[]
%\begin{tabular}{|l|l|l|}
%\hline
%1: AD for Monitoring & 2: High dim Data & 3: Graph Data \\ \hline
%4: LOF & 5: Subspace prep & 6: Transformations for AD \\ \hline
%7: GANs & 8: Ensembles & 9: Active AD \\ \hline
%10: Interpretation & 11: Explainability & 12: Application: Device Failure \\ \hline
%13: Application: Video Data & 14: Application: Spacecrafts & Any other ideas? \\ \hline
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\begin{itemize}
\item 1: Shapley Values
\item 2: Prototypes
\item 3: Adversarial Examples
\item 4: Pixel Attribution
\end{itemize}
\end{frame}
\end{document}