39 lines
1.4 KiB
TeX
39 lines
1.4 KiB
TeX
|
\begin{frame}
|
|||
|
|
\frametitle{Topic 4: Shapley Values}
|
|||
|
|
|
|||
|
|
%\Large \\
|
|||
|
|
\LARGE \textbf{Chapter:} 9.2,9.5 and 9.6 + 2/3 papers \\
|
|||
|
|
\textbf{Supervisor:} Chiara Balestra (chiara.balestra@cs.uni-dortmund.de)\\
|
|||
|
|
|
|||
|
|
%\begin{center}
|
|||
|
|
%\includegraphics[height=3cm]{illustrations/chiara.png}
|
|||
|
|
%\end{center}
|
|||
|
|
|
|||
|
|
\begin{columns}
|
|||
|
|
%\begin{column}{.3\textwidth}
|
|||
|
|
% \begin{center}
|
|||
|
|
% \includegraphics[height=3cm]{illustrations/chiara.png}
|
|||
|
|
% \end{center}
|
|||
|
|
%\end{column}
|
|||
|
|
\begin{column}{0.475\textwidth}
|
|||
|
|
Focus either on Computer Science
|
|||
|
|
\begin{itemize}
|
|||
|
|
\item \small\textbf{Shapley Values for Feature Selection: The Good, the Bad, and the Axioms} (Fryer et al. 2020)
|
|||
|
|
\item \textbf{Explaining Models by Propagating Shapley Values of Local Components} (Chen et al. 2020)
|
|||
|
|
\item \textbf{GraphSVX: Shapley Value Explanations for Graph Neural Networks} (Duval et al. 2021)
|
|||
|
|
\end{itemize}
|
|||
|
|
\end{column}
|
|||
|
|
\begin{column}{0.475\textwidth}
|
|||
|
|
Or on Medical Application
|
|||
|
|
\begin{itemize}
|
|||
|
|
\item \small\textbf{Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19} (Smith et al. 2021)
|
|||
|
|
\item \textbf{Explaining multivariate molecular diagnostic tests via Shapley values} (Roder et al. 2021)
|
|||
|
|
\end{itemize}
|
|||
|
|
\end{column}
|
|||
|
|
|
|||
|
|
\end{columns}
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
\end{frame}
|