\begin{table}[htbp]
\centering
\resizebox{0.4\textwidth}{!}{
\begin{tabular}{lccc}
\hline
& M $\rightarrow$U & U$\rightarrow$M & Avg \\
\hline
DANN~\citep{ganin2016domain} &91.8 & 94.7 &93.3 \\
CDAN~\citep{long2018conditional} &93.9 & 96.9 & 95.4 \\
f-DAL~\citep{acuna2021f} & 95.3 & 97.3 & 96.3 \\
% f-DAL-reproduce & 95.6 &   &  \\
% f-DAL+CCS & 95.7 &  &  \\
\midrule
CS-adv (ours) &  \textbf{95.5} & \textbf{98.1} & \textbf{96.8} \\
\hline
\end{tabular}}
\caption{Accuracy on the Digits datasets.}
\label{tab:abl-fdal-ccs}
%\vspace{-5mm}
\end{table}

% \begin{wraptable}{r}{0.5\textwidth}  % "r" for right alignment and width of the table
% \centering
% \begin{tabular}{lcccccc}
% \toprule
%  & \multicolumn{3}{c}{Conditional CS} & \multicolumn{3}{c}{Conditional MMD} \\
% \cmidrule(r){2-4} \cmidrule(r){5-7}
%  & (a) & (b) & (c) & (a) & (b) & (c) \\
% \midrule
% (a) & 0.05 & 1 & 1 & 0.06 & 0 & 0 \\
% (b) & 1 & 0.08 & 0.92 & 0 & 0.04 & 0 \\
% (c) & 1 & 0.91 & 0.10 & 0 & 0 & 0.10 \\
% \bottomrule
% \end{tabular}
% \caption{Power test for conditional CS and conditional MMD. An ideal result is a full-one matrix with 0 on the diagonal.}
% \label{tab:syn_mmd_cs}
% \end{wraptable}
