% \setlength{\tabcolsep}{6pt}
% \begin{table*}[!ht]
% \begin{center}
% \tablestyle{26pt}{1.4}
% \begin{tabular}{SSS}
% \toprule
% {\multirow{2}{*}{Method}} & \multicolumn{2}{c}{Accuracy} \\
%                & TIN           & CUB          \\ \midrule
% {Supervised}     & 48.58\%       & 19.70\%      \\ \midrule
% \textbf{DINO}           & 41.72\%       & 24.09\%      \\
% \textbf{MAE}            & \textbf{55.00\%}       & 42.54\%      \\
% \textbf{SMAE ($a=0.5$)} & 54.40\% & \textbf{47.50\%} \\ \bottomrule
% \end{tabular}
%         % \vspace{}
%         \caption{Top-1 validation accuracy on image classification datasets.}
%         \label{tab:results}
%     \end{center}
% \end{table*}




\begin{table}[!ht]
    \centering
    % \caption{MWE of a table using booktabs}
    % \rowcolors{4}{}{gray!10}
    % \tablestyle{26pt}{0.8}
    \def\arraystretch{1.1}
    \noindent\begin{tabularx}{0.7\columnwidth}{ XYY }
        \toprule
        Method & TIN  & CUB \\ \midrule
{Supervised}     & 48.58      & 19.70    \\
\textbf{DINO}           & 41.72   & 24.09      \\
\textbf{MAE}            & \textbf{55.00}       & 42.54     \\
\textbf{SMAE ($\alpha=0.5$)} & 54.40 & \textbf{47.50} \\ \bottomrule
    \end{tabularx}
    \caption{Top-1 validation accuracy on image classification datasets.}
        \label{tab:results}
\end{table}