\begin{frame} \frametitle{Topic 4: Pixel Attribution} \Large \textbf{Efficient Saliency Maps for Explainable AI} (Mundhenk, Chen, et al., 2019)\\ \LARGE \textbf{Chapter:} 10.2 \textbf{Supervisor:} Simon Klüttermann (simon.kluettermann@cs.uni-dortmund.de)\\ %\begin{center} %\includegraphics[height=3cm]{illustrations/simon.jpeg} %\end{center} \begin{columns} \begin{column}{.575\textwidth} \begin{center} \includegraphics[height=3cm]{illustrations/simon.jpeg} \end{center} \end{column} \begin{column}{.375\textwidth} \begin{itemize} \item Different parts of an image have different effect/importance on the classification of an image \item Programming task: Generate one Saliency Map yourself! \end{itemize} \end{column} \end{columns} \end{frame}