quantitative.tex (1828B)
1 \begin{frame}{Results: FewRel 5 way 1 shot Accuracies} 2 \begin{columns}% 3 \begin{column}{75mm} 4 \centering% 5 {\usebeamercolor[fg]{alerted text}% 6 \begin{tikzpicture}[ 7 remember picture, 8 overlay, 9 highlight/.style={fill=fg!30!white, inner sep=0.5mm}, 10 ] 11 \only<2>{\node[highlight, fit=(graphquant-c11) (graphquant-c12)] {};} 12 \only<3>{\node[highlight, fit=(graphquant-c21) (graphquant-c22)] {};} 13 \only<4>{\node[highlight, fit=(graphquant-c31) (graphquant-c32)] {};} 14 \only<5>{\node[highlight, fit=(graphquant-c41) (graphquant-c42)] {};} 15 \only<6>{\node[highlight, fit=(graphquant-c51) (graphquant-c52)] {};} 16 \end{tikzpicture}}% 17 \begin{tabular}{l r} 18 \toprule 19 Model & Accuracy \\ 20 \midrule 21 \multicolumn{2}{c}{{\futuraHeavier Pre-trained}} \\ 22 \midrule 23 \tikzmarknode{graphquant-c11}{Linguistic (\textsc{bert})} & \tikzmarknode{graphquant-c12}{69.46} \\ 24 \tikzmarknode{graphquant-c21}{Topological (\(W_1\))} & \tikzmarknode{graphquant-c22}{65.75} \\ 25 \tikzmarknode{graphquant-c31}{Topolinguistic} & \tikzmarknode{graphquant-c32}{72.18} \\ 26 \midrule 27 \multicolumn{2}{c}{{\futuraHeavier Fine-tuned}} \\ 28 \midrule 29 \tikzmarknode{graphquant-c41}{\textsc{mtb}} & \tikzmarknode{graphquant-c42}{78.83} \\ 30 \tikzmarknode{graphquant-c51}{\textsc{mtb gcn}--Chebyshev} & \tikzmarknode{graphquant-c52}{76.10} \\ 31 \bottomrule 32 \end{tabular} 33 \end{column}% 34 \begin{column}{65mm} 35 \begin{block}{Few-Shot Evaluation} 36 \alert{1} query 37 38 \alert{5} candidates 39 40 Which candidate conveys the same relation as the query? 41 42 Random model score 20\% accuracy. 43 \end{block} 44 \end{column}% 45 \end{columns} 46 47 \bigskip 48 49 \raggedright 50 \uncover<2,5>{\citeauthor{mtb} \citefield{mtb}[linkedtitle]{title} \citefield{mtb}{shortseries}~\cite*{mtb}}% 51 \end{frame}