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<Decompile Table LaTeX from the image> | \begin{tabular}{cccccc} \toprule Layer & Procrustes & CKA & PWCCA & $\bar \rho_{\text{CCA}}$ & $R^2_{\text{CCA}}$ \\ \midrule 1 & 0.137 (8.7E-02) & 0.108 (1.4E-01) & 0.107 (1.4E-01) & 0.072 (7.6E-01) & 0.072 (7.6E-01) \\ 2 & -0.012 (5.5E-01) & 0.060 (2.8E-01) & 0.062 (2.7E-01) & 0.004 (5.1E-01) & 0.001 (5.0E-01) \\ 3 &... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccccc} \toprule Layer & Procrustes & CKA & PWCCA & $\bar \rho_{\text{CCA}}$ & $R^2_{\text{CCA}}$ \\ \midrule 1 & 0.103 (6.5E-02) & 0.083 (1.1E-01) & 0.074 (1.4E-01) & 0.050 (7.7E-01) & 0.048 (7.6E-01) \\ 2 & -0.010 (5.6E-01) & 0.046 (2.5E-01) & 0.046 (2.5E-01) & 0.006 (5.3E-01) & 0.001 (5.0E-01) \\ 3 &... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lrr} \toprule Corruption & Procrustes & CKA \\ \midrule gaussian\_noise & 0.083 & 0.076 \\ shot\_noise & 0.171 & 0.161 \\ impulse\_noise & 0.104 & 0.083 \\ defocus\_blur & -0.025 & 0.021 \\ glass\_blur & 0.082 & 0.073 \\ motion\_blur & 0.033 & 0.035 \\ zoom\_blur & -0.023 & 0.020\\ snow & 0.087 & 0.060\... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lrr} \toprule Corruption & Procrustes & CKA \\ \midrule gaussian\_noise & 0.057 & 0.050 \\ shot\_noise & 0.118 & 0.110 \\ impulse\_noise & 0.070& 0.055 \\ defocus\_blur & -0.016 & 0.013 \\ glass\_blur & 0.057 & 0.047 \\ motion\_blur & 0.021 & 0.022 \\ zoom\_blur & -0.014 & 0.013 \\ snow & 0.059 & 0.042 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c}Ting-Yao Hu$^{\star}$ \qquad Ashish Shrivastava$^{\dagger}$ \qquad Jen-Hao Rick Chang$^{\dagger}$ \qquad Hema Koppula$^{\dagger}$, \\ Stefan Braun$^{\dagger}$ \qquad Kyuyeon Hwang$^{\dagger}$ \qquad Ozlem Kalinli$^{\dagger}$ \qquad Oncel Tuzel$^{\dagger}$\end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|cccc|cc} \toprule Exp.& \multicolumn{4}{c|}{Reward Setup} & Accuracy & Mean\\ \# & TP & TN & FP & FN & (\%) & Time (sec)\\ \midrule 1 & C'(t) & C'(t) & -C'(t) & -C'(t) & 96.867 & 48.61 \\ 2 & C'(t) & C'(t) & -10C'(t) & -10C'(t) & 96.801 & 48.37 \\ 3 & 1 & 1 & -C'(t) & -C'(t) & 96.212 & 10.53 \\ 4 & 10... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|l|l|l|l|} \hline Tool & Best model & Log Loss & TP & FP & FN & TN & AUC\\ \hline mljar-supervised & Stacked Ensemble & 1.2555 & 1085 & 42 & 9 & 267 & 0.9279\\\hline H2O & Deep Learning& 7.6809 & \textbf{1091} & 309 & \textbf{3} & 0 & 0.4986 \\\hline TPOT & Gradient Boosting& \textbf{1.1817} & 1... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|l|l|l|l|} \hline Tool & Best model & Log Loss & TP & FP & FN & TN & AUC \\ \hline mljar-supervised & Stacked Ensemble & \textbf{0.9109} & \textbf{1087} & \textbf{30} & \textbf{7} & \textbf{279} & \textbf{0.9483} \\\hline H2O & Stacked Ensemble& 1.0093 & 1084 & 31 & 10 & 278 & 0.9453 \\\hline TP... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|l|l|l|l|} \hline Tool & Best model & Log Loss & TP & FP & FN & TN & AUC\\ \hline mljar-supervised & Stacked Ensemble & 0.8863 & \textbf{1088} & 30 & \textbf{6} & 279 & 0.9487 \\\hline H2O & Stacked Ensemble& \textbf{0.8370} & \textbf{1088} & \textbf{28} & \textbf{6} & \textbf{281} & \textbf{0.9... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|} \hline \multirow{2}{*}{Tool} & \multicolumn{3}{|c|}{Feature size} \\ \cline{2-4} & 50 & 100 & 200\\\hline mljar-supervised & 2:01 & 3:01 & 4:04\\\hline H2O & 1:20 & 2:03 & 2:41 \\\hline TPOT & 2:01 & 3:00 & 4:00\\\hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|} \hline Features subset size & Tool & Best model & Log Loss \\ \hline 50 & TPOT & Gradient Boosting & 1.1817 \\\hline 100 & H2O & Stacked Ensemble& 1.0093 \\\hline 200 & H2O & Stacked Ensemble& \textbf{0.8370} \\\hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|l|l|l|} \hline Feature subset size & Tool & Best model & Log Loss & Improvement (\%)\\ \hline 200 & TPOT & Logistic Regression& 1.034 &19.05\\\hline 200 & mljar-supervised & Ensemble & 0.8863 & 5.56\\\hline 200 & H2O & Stacked Ensemble& \textbf{0.8370} & - \\\hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|} \hline Metric & Value\\ \hline Log loss & 0.0766522\\\hline TP & 3257\\\hline FP & 24\\\hline FN & 67\\\hline TN & 859\\\hline AUC & 0.994897\\\hline Training time (in millisecond) & 2738 \\\hline Prediction time per row (in millisecond) & 0.288793\\\hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{rrr|r|r} $n$ & $c$ & $f$ & Number of actions per player $(|A_i|)$ & Size of matrix / tensor $(= |A_i|^n)$\\ \midrule 2 & 10 & 3 & 66 & 4356 \\ 2 & 30 & 3 & 496 & 246016 \\ 2 & 15 & 4 & 816 & 665856 \\ 2 & 10 & 5 & 1001 & 1002001 \\ 2 & 10 & 6 & 3003 & 9018009 \\ \midrule 3 & 10 & 3 & 66 & 287496 \\ \mid... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|rrrr} \toprule{} & \multicolumn{2}{c}{Training set} & \multicolumn{2}{c}{Validation set}\\ \midrule{} & \multicolumn{1}{c}{Press} & \multicolumn{1}{c}{No-press} & \multicolumn{1}{c}{Press} & \multicolumn{1}{c}{No-press}\\ \midrule \midrule Available games & 104456 & 31279 & 2000 & 2000\\ \midrule Excl... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccc} \hline Dataset & Sample & Dimension & Edges & Classes \\ \hline DBLP & 4057 & 334 & 7056 & 4 \\ ACM & 3025 & 1870 & 26256 & 3 \\ AMAP & 7650 & 745 & 287326 & 8 \\ AMAC & 13752 & 767 & 491722 & 10 \\ CITESEER & 3327 & 3703 & 4732 & 6 \\ CORA & 2708 & 1433 & 5429 & 7 \\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccc|cc} \toprule \multirow{2}*{Model}& \multicolumn{4}{c}{Monster Kong} & \multicolumn{2}{c}{Flappy Bird\qquad\quad}\\ \cmidrule(r){2-7} & 1-5$^\S$ & 1-5 & 2-5 & 3-5 & 1-5$^\dag$ & 1-5$^\ddag$\\ \midrule MAOP & 0.34 & 0.15 & 0.14 & 0.12 & 0.30 & 0.34\\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \toprule Model& MonsterKong & FlappyBird & Freeway \\ \midrule MAOP& 100\% & 100\% & 98.75\%\\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccc|cc} \toprule \multirow{2}*{Mask Number}& \multicolumn{2}{c|}{Training} & \multicolumn{2}{c}{Unseen}\\ \cmidrule(r){2-5} &Agent & All & Agent & All\\ \midrule 3 masks & 0.92 & 0.91 & 0.90 & 0.88 \\ 5 masks & 0.95 & 0.92 & 0.94 & 0.90 \\ 8 masks & 0.93 & 0.90 & 0.91 & 0.88 \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccc} & \textbf{Parameters} & \textbf{Interpolation} & \textbf{Extrapolation} \\ \hline Simple \textbf{LSTM} & 18M & 0.57 & 0.41 \\ Simple \textbf{RMC} & 38M & 0.53 & 0.38 \\ \hline Attentional \textbf{LSTM}, LSTM encoder & 24M & 0.57 & 0.38 \\ Attentional \textbf{LSTM}, bidir LSTM encoder & 26M & 0.58 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccccccc} \toprule \multicolumn{1}{c}{} & \multicolumn{6}{c}{Classification Tasks} & \multicolumn{2}{c}{\multirow{2}{*}{Regression Tasks}} \\ \cline{2-7} \multicolumn{1}{c}{} & \multicolumn{2}{c}{Financial} & \multicolumn{4}{c}{Large-Scale} & \multicolumn{2}{c}{}\\ \cmidrule(lr){2-3} \cmidrule(lr){4-7}... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \toprule \multicolumn{1}{c}{ \multirow{2.5}{*}{Dataset} } & \multicolumn{3}{c}{Speedup}\\ \cmidrule(lr){2-4} & SGD & SVRG & SAGA \\ \midrule UCICreditCard & 1.82 & 1.93 & 1.95\\ GiveMeSomeCredit & 1.89 & 2.15 & 2.11\\ new20 & 3.37 & 2.84 & 2.89\\ rcv1 & 3.70 & 2.64 & 2.28\\ url & 2.74 & 2.51 & 2.3... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|ll} Model & Top 1 Acc. & Top 5 Acc. \\ \toprule \textit{GLICO} & 43.84$\pm$0.25 & 70.73$\pm$0.07 \\ Baseline & 38.39$\pm$0.18 & 67.77$\pm$0.18 \\ No Classifier & 41.57$\pm$0.54 & 69.55$\pm$0.11 \\ No Noise & 43.31$\pm$0.02 & 70.05$\pm$0.02 \\ Lerp & 43.01$\pm$0.06 & 70.51$\pm$0.03 \\ Transductive & 44... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|ll} Model & Top 1 Acc. & Top 5 Acc. \\ \toprule Latent Classifier & 43.08$\pm$0.06 & 70.22$\pm$0.05 \\ Hypercube Init & 44.21$\pm$0.61 & 70.89$\pm$0.46 \\ ResNet Init & 42.95$\pm$0.22 & 70.10$\pm$0.13 \\ Additive Noise & 41.02$\pm$0.43 & 68.10$\pm$0.11 \\ Cosine Loss & 41.01$\pm$0.27 & 68.45$\pm$0.31 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccll} \toprule AutoAu. & Ours & Top-1 Accuracy & Top-5 Accuracy \\ \midrule & & 50.37$\pm$0.05 & 75.61$\pm$0.01 \\ & $\checkmark$ & 53.35$\pm$0.23 & 77.60$\pm$0.12 \\ $\checkmark$ & & 53.80$\pm$0.10 & 79.18$\pm$0.13 \\ $\checkmark$ & $\checkmark$ & \textbf{56.31$\pm$0.02} & 80.66$\pm$0.04 \\ \bottomrule... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|ccc} \toprule Method & supervised only & 1000 unlabeled & 35k unlabeled \\ \midrule Baseline & 38.39$\pm$0.18 & - & - \\ MixMatch & 40.17 & 42.39 & 50.34 \\ Ours & 43.84$\pm$0.25 & 44.52$\pm$0.12 & 44.73$\pm$0.07 \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \toprule Map Name & Replay Buffer Size & Behaviour Test Win Rate & Behaviour Policy \\ \hline 2s3z & 20k episodes & 91.2\% & VDN \\ 3s5z & 20k episodes & 77.5\% & VDN \\ 2s\_vs\_1sc & 20k episodes & 99.6\% & VDN \\ 3s\_vs\_5z & 20k episodes & 94.2\% & VDN \\ 1c3s5z & 30k episodes & 92.1\% & VDN \\... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccc} \toprule Map Name & Ally Units & Enemy Units \\ \hline 2s3z & 2 Stalkers \& 3 Zealots & 2 Stalkers \& 3 Zealots \\ 3s5z & 3 Stalkers \& 5 Zealots & 3 Stalkers \& 5 Zealots \\ 2s\_vs\_1sc & 2 Stalkers & 1 Spine Crawler \\ 3s\_vs\_5z & 3 Stalkers & 5 Zealots \\ 1c3s5z & 1 Colossus, 3 Stalkers \& 5 Ze... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccc} \hline Task & Metric & fp32 & RCT & Bitwidth \\ \hline CoLA & Matthew's corr & 56.53 & \textbf{57.29} & 18.0 \\ MRPC & F1 & 88.85 & \textbf{90.20} & 17.9 \\ QNLI & Accuracy & 90.66 & \textbf{90.87} & 17.7 \\ QQP & F1 & 87.49 & 86.74 & 17.6 \\ RTE & Accuracy & 65.70 & 65.34 & 18.8 \\ SST-2 & Accur... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|l|l|} \hline \hline \textbf{\normalsize Variable} & \textbf{\normalsize Definition} \\ \hline \textbf{$y_j$} & Response connected to patient $j$ \\ \hline \textbf{$x_{ij}$} & ICD-9 code $i$ of patient $j$ \\ \hline \textbf{$b_{ij}$} & Specialist type for ICD-9 code $i$ of patient $j$ \\ \hline \textbf{... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccccccccc}\toprule \multirow{2}{*}{Method} & \multicolumn{9}{c}{Number of Classes} \\\cmidrule{2-10} &4 &6 &8 &10 &20 &30 &40 &50 &60 \\\midrule SBM-GP & 96.98$\pm$0.5 & 95.55$\pm$0.9 &92.11$\pm$0.8 &91.04$\pm$0.7 &83.59$\pm$0.5 &77.63$\pm$0.9 &67.03$\pm$0.8 &64.20$\pm$1.0 &60.69$\pm$1.0\\ OVE &97.33$\... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc}\toprule Method && CIFAR-10 && CIFAR-100 \\\midrule GPDNN && 81.16 $\pm$ 0.1 && -- \\ SV-DKL && 92.73 $\pm$ .05 && 70.61 $\pm$ 0.2 \\ \midrule GP-Tree (ours) && \textbf{93.25 $\pm$ 0.1} && \textbf{72.11 $\pm$ .05} \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccccccccccccccccccccc} \toprule \multirow{2}{*}{Method} &\multicolumn{21}{c}{Sessions} \\\cmidrule{2-22} &1& &2& &3& &4& &5& &6& &7& &8& &9& &10& &11 \\\midrule iCaRL & 68.68 && 52.65 && 48.61 && 44.16 && 36.62 && 29.52 && 27.83 && 26.26 && 24.01 && 23.89 && 21.16 \\ EEIL & 68.68 && 53.63 && 47.91 && 4... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccccccccccccccccccccc} \toprule \multirow{2}{*}{Method} &\multicolumn{21}{c}{Sessions} \\\cmidrule{2-22} &1& &2& &3& &4& &5& &6& &7& &8& &9& &10& &11 \\\midrule Session Tree & 73.73 && \textbf{68.24} && 64.07 && 59.42 && 56.12 && 52.80 && 50.73 && 48.89 && 46.34 && 45.01 && 43.33\\ Rebuild Tree &73.73 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ll} \toprule Feature & Value Type\\ \midrule Age & Integral \\ Sex & Categorical \\ City of Birth & Categorical \\ Current / Migration City & Categorical \\ Duration of stay in current City (in months) & Integer \\ Married, divorced, widowed & Categorical \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lllllll} \toprule Algorithm & F1 Score & Accuracy & TN & FP & FN & TP \\ \midrule SVM & 0.62 & 0.92 & 169 & 14 & 3 & 14 \\ Random Forest & 0.61 & 0.90 & 166 & 17 & 2 & 15 \\ XGBoost & 0.59 & 0.89 & 162 & 21 & 1 & 16 \\ MLP & 0.60 & 0.92 & 170 & 13 & 4 & 13 \\ Sequential Neural Network & 0.50 & 0.89 & 16... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcc} \toprule Model Size & GPT-2 Perplexity& Our Perplexity \\ \midrule $117M$ & $21.11$ & $22.78$ \\ $345M$ & $16.03$ & - \\ $378M$ & - & $17.95$ \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcc} \toprule $d_x$ & $r$ & std \\ \midrule $680$ & $680$ & $8\cdot 10^{-4}$ \\ $576$ & $576$ & $1.5\cdot 10^{-3}$\\ $680$ & $128$ & $2.1\cdot 10^{-3}$ \\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccc} \toprule $V$ &$L$ & $r$ & widths \\ \midrule 257 & 24 & & $144, 160, 168, 184, 192, 200, 224, 248, 264, 280, 336, 408, 480$ \\ 257 & 48 & & $104, 112, 120, 128, 136, 142, 144, 160, 176, 184, 200, 240, 288, 336$ \\ 500 & 24 & & $280, 336, 360, 384, 408, 424, 440, 480, 504, 528, 544, 576, 600$\\ 500... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccr} \toprule $V$ & $L$ & $d_x$ & $r$ & std \\ \midrule $257$ & $24$ & $264$ & & $5.1\cdot 10^{-4}$ \\ $257$ & $48$ & $184$ & & $6.8\cdot 10^{-4}$\\ $500$ & $24$ & $504$ & & $1.7\cdot 10^{-3}$ \\ $2000$ & $24$ & $528$ & $500$ & $1.5\cdot 10^{-3}$ \\ $50257$ & $48$ & $480$ & & $3.1\cdot 10^{-3}$ \\ \bo... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccc} \toprule $\nicefrac{H\cdot d_a}{d_x}$ & $L$ & $H$ & widths \\ \midrule $1$ & $\mathbf{18}$ & $12$ & $360,384,420,456$ \\ $1$ & $\mathbf{24}$ & $12$ & $420,456,480$ \\ $2$ & $\mathbf{12}$ & $12$ & $408,480$ \\ $2$ & $18$ & $18$ & $396$ \\ $2$ & $24$ & $24$ & $336$ \\ $4$ & $12$ & $12$ & $288,336$ \... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c} Matthew Horak \\ Lockheed Martin Space \\ matthew.horak@lmco.com \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c} Sowmya Chandrasekaran\\ Lockheed Martin Space \\ sowmya.s.chandrasekaran@lmco.com \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c} Giovanni Tobar\\ Lockheed Martin Space \\ giovanni.a.tobar@lmco.com \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|cc} &Actual Positive& Actual Negative\\ \hline Predicted Positive & True Positive (TP) & False Positive (FP) \\ Predicted Negative & False Negative (FN) & True Negative (TN) \\ \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lll} \hline Features & ROC AUC & PR AUC \\ \hline General & $0.8277$ & $0.0336$ \\ Visit-specific & $0.8769$ & $0.1140$ \\ Both & $0.9126$ & $0.1516$ \\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccc} \hline \textbf{Model} & \textbf{Static} & \textbf{ROC AUC} & \textbf{PR AUC} \\ &\textbf{features} && \\ \hline Gradient boosting (BoW) & without & $ 0.8625 \pm 0.0297 $ & $ 0.1806 \pm 0.0446 $ \\ Gradient boosting (TF-IDF) & without & $ 0.8625 \pm 0.0297 $ & $ 0.1928 \pm 0.0658 $ \\ Gradient boos... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lll} \hline Resampling technique & ROC AUC & PR AUC \\ \hline No resampling (baseline) & $0.8345$ & $0.0994$ \\ Over (SMOTE) & $0.844$ & $0.0961$ \\ Over (ADASYN) & $0.8455$ & $0.0985$ \\ Under (RepeatedEditedNN) & $0.8439$ & $0.1019$ \\ Under (InstanceHardnessThreshold) & $\mathbf{0.8515}$ & $0.1011$ \... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{|c||c|c|c|c|c|c|} \hline \bfseries phase & \bfseries veh & \bfseries veh & \bfseries veh & \bfseries veh & \bfseries ped & \bfseries ped \\ \bfseries nr & \bfseries west & \bfseries east & \bfseries north & \bfseries south & \bfseries w\&e & \bfseries n\&s \\ \hline\hline 1 & r & r & r & r & r & r \\ \h... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ll} \hline \textbf{Hyperparameter} & \textbf{Value} \\ \hline train\_batch\_size & $8000$ \\ num\_sgd\_iter & $10$ \\ gamma & $0.98$ \\ lambda & $0.95$ \\ vf\_loss\_coeff & $0.1789$ \\ lr & $1.5e-5$ \\ \hline queue\_norm & $30$ \\ wave\_norm & $14$ \\ speed\_norm & $14$ \\ wait\_veh\_norm & $14$ \\ wait... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccccc} \toprule \textbf{Classes}& \textbf{Scratch}& \textbf{Pretrained} & \textbf{SRNN} &\textbf{MRCL}&\textbf{OML} & \textbf{Ours}\\ \midrule 6 & 19.3 $\pm$ 4.0 & 16.9 & 34.2 & 41.8 $\pm$ 9.0 & 37.0 $\pm$ 6.8 & \textbf{49.4 $\pm$ 6.5} \\ 8 & 12.9 $\pm$ 1.3 & 13.0&29.2 & 36.8 $\pm$ 7.1 & 34.6 $\pm$ 4.... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc} \toprule \textbf{Method} &\textbf{Standard} & \textbf{Pre-Training} &\textbf{OML} &\textbf{Ours} \\ \midrule Online & 4.64 $\pm$ 2.61 & 21.16 $\pm$ 2.71 & 64.72 $\pm$ 2.57 & \textbf{85.68 $\pm$ 2.10} \\ Approx. IID & 53.95 $\pm$ 5.50 & 54.29 $\pm$ 3.48 & 75.12 $\pm$ 3.24 & \textbf{88.66 $\pm$ 2.1... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc} \toprule \textbf{Method} &\textbf{Standard} & \textbf{Pre-Training} &\textbf{OML} &\textbf{Ours} \\ \midrule Online & 1.40 $\pm$ 0.43 & 11.80 $\pm$ 1.92 & 55.32 $\pm$ 2.25 & \textbf{80.10 $\pm$ 1.71} \\ Approx. IID & 48.02 $\pm$ 5.67 &46.02$\pm$ 2.83 & 67.03 $\pm$ 2.10 & \textbf{85.90 $\pm$ 1.76}... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccccccc} \toprule \textbf{Classes} & \textbf{DER} & \textbf{DER++} & \textbf{HAL} & \textbf{MERLIN} & \textbf{GSS} & \textbf{PODNet} & \textbf{Ours}\\ \midrule 6 & 27.22 $\pm$ 6.39 & 36.77$\pm$5.73 & 26.33 $\pm$ 3.44 & 22.78 & 35.00 & 42.68 $\pm$ 2.33 & \textbf{49.4 $\pm$ 5.5}\\ 8 & 22.29 $\pm$ 5.42 & ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \toprule \textbf{Classes} &\textbf{Scratch} &\textbf{MRCL} &\textbf{Ours}\\ \midrule 10 & 10.3$\pm$1.3 & 20.0 $\pm$ 4.3 & \textbf{43.9 $\pm$ 6.0}\\ 15 & 7.0 $\pm$0.8 &16.6 $\pm$ 2.5 & \textbf{37.5 $\pm$ 4.0}\\ 20 & 5.1$\pm$ 0.3 &13.8 $\pm$ 2.4 & \textbf{32.7 $\pm$ 2.8}\\ 25 & 4.2$\pm$ 0.8 &13.4 $\... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccccc} \toprule \textbf{Tasks} &\textbf{Pretrained} &\textbf{SRNN} &\textbf{MRCL} & \textbf{OML} &\textbf{Ours}\\ \midrule 1 & 0.03 & \textbf{0.01 $\pm$ 0.003} & 0.11 $\pm$ 0.10 & 0.08 & 0.08 $\pm$ 0.06\\ 2 & 0.42 & 0.32 $\pm$ 0.27 &0.23 $\pm$ 0.16 & 0.23 &\textbf{0.12 $\pm$ 0.13} \\ 3 & 0.73 & 0.41 $\... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c} \toprule Task & max - min \\ \midrule a1 & 0.35\\ a2 & 0.39\\ a3 & 0.16\\ a4 & 0.31\\ a5 & 0.47\\ a6 & 0.31\\ a7 & 0.43\\ a8 & \textbf{0.04}\\ a9 & 0.17\\ \bottomrule \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|ccc} \specialrule{.1em}{.05em}{.05em} Algorithm & F-measure & Precision & Recall \\ \hline VILMAP & 0.750 & \textbf{0.856} & 0.667 \\ PUDDLE & 0.706 & 0.682 & 0.733 \\ DiBS & 0.236 & 0.234 & 0.240 \\ AGu & \textbf{0.782} & 0.787 & \textbf{0.777} \\ TPs & 0.468 & 0.432 & 0.512 \\\specialrule{.1em}{.05e... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c|c|c|c|c|c} \hline \hline \textbf{Type} & \textbf{Dataset} & \textbf{Sampling rate} & \textbf{No of subjects} & \textbf{Total audio} & \textbf{Average length} & \textbf{Standard deviation} \\ \hline \hline \multirow{4}{*}{TB Cough} & TASK & 44.1 kHz & 14 & 91 mins & 6.5 mins & 1.23 mins \\ \cline{2-7... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c|c|c|c|c|c} \hline \hline \textbf{Type} & \textbf{Dataset} & \textbf{Sampling rate} & \textbf{No of events} & \textbf{Total audio} & \textbf{Average length} & \textbf{Standard deviation} \\ \hline \hline \multirow{3}{*}{Sneeze} & Google Audio Set \& Freesound & 16 kHz & 1013 & 13.34 mins & 0.79 sec &... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c|c} \hline \hline \textbf{Hyperparameters} & \textbf{Description} & \textbf{Range} \\ \hline \hline \multirow{2}{*}{MFCCs ($\mathbb{M}$)} & \multirow{2}{*}{lower order MFCCs to keep} & $13 \times k$, where \\ & & $k=1, 2, 3, 4, 5$ \\ \hline \multirow{2}{*}{Frame length ($\mathbb{F}$)} & \multirow{2}{... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|c|l} \hline \hline \textbf{Hyperparameters} & \textbf{Classifier} & \textbf{Range} \\ \hline \hline No. of conv filters ($\alpha_1$) & CNN & $3 \times 2^k$ where $k=3, 4, 5$ \\ \hline Kernel size ($\alpha_2$) & CNN & 2 and 3 \\ \hline Dropout rate ($\alpha_3$) & CNN, LSTM & 0.1 to 0.5 in steps of 0.2 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c|c} \hline \hline \multicolumn{3}{c}{\textbf{\uppercase{Feature Extraction hyperparameters}}}\\ \hline \hline \multicolumn{2}{c|}{\textbf{Hyperparameters}} & \textbf{Values} \\ \hline $\mathbb{M}$ & MFCCs & $39$ \\ \hline $\mathbb{F}$ & frame length & $2^{10} = 1024$ \\ \hline $\mathbb{S}$ & no. of f... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|ll} \hline Dataset & \textbf{IMDB-Binary} & \textbf{Reddit-Binary} \\ \hline \# of Nodes & 19,773 & 859,254 \\ \# of Edges & 96,531 & 995,508 \\ \# of Graphs & 1,000 & 2,000 \\ Avg Degree & 4.88 & 1.16 \\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|llll} \hline Dataset & \textbf{OAG} & \textbf{Twitter} & \textbf{Weibo} & \textbf{Digg} \\ \hline \# of Nodes & 953,675 & 456,626 & 1,776,950 & 279,630 \\ \# of Edges & 4,151,463 & 12,508,413 & 308,489,739 & 1,548,126 \\ \# of Graphs & 499,848 & 499,160 & 779,164 & 244,128 \\ Avg Degree & 4.35 & 27.39... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|llllllll} \hline task & Target & DANN & MDD & DANE & UDAGCN & DSR & DIVA & DGDA(Ours)\\ \hline I$\rightarrow$R & ${90.0}_{\pm 1.6}$ & ${74.4}_{\pm 0.6}$ & ${67.3}_{\pm 2.0}$ & ${73.9}_{\pm 1.1}$ & ${73.7}_{\pm 0.9}$ & ${75.7}_{\pm 1.4}$ & ${75.9}_{\pm 0.7}$ & ${\textbf{78.1}}_{\pm 1.0}$ \\ R$\rightarr... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|lllllllllllll} \hline Methods &O$\rightarrow$T &O$\rightarrow$W &O$\rightarrow$D &T$\rightarrow$O &T$\rightarrow$W &T$\rightarrow$D &W$\rightarrow$O &W$\rightarrow$T &W$\rightarrow$D &D$\rightarrow$O &D$\rightarrow$T &D$\rightarrow$W & Avg\\ \hline Target & 53.3 & 53.2 & 62.9 & 43.0 & 53.2 & 62.9 & 43... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|cc} \hline \small{Parameter} & \textbf{IMDB\&Reddit} & \textbf{Ego-network}\\ \hline \small{Batch size} & 64 & 1024 \\ \small{Learning rate} & 0.001 & 0.01 \\ \small{Encoder hidden size} & 256 & 256 \\ \small{Dimension of $\bm{Z}_d$} & 256 & 64 \\ \small{Dimension of $\bm{Z}_y$} & 256 & 256 \\ \small{... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c} \hline Information Value & Predictive Power\\ \hline $0$ to $0.02$ & Useless for prediction\\ $0.02$ to $0.1$ & Weak predictor\\ $0.1$ to $0.3$ & Medium predictor\\ $0.3$ to $0.5$ & Strong predictor\\ $>0.5$ & Extremely strong predictor\\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{c|c} \hline Pearson Correlation Coefficient & Correlation\\ \hline $0$ to $0.2$ & Very weak or no correlation\\ $0.2$ to $0.4$ & Weak correlation\\ $0.4$ to $0.6$ & Moderate correlation\\ $0.6$ to $0.8$ & Strong correlation\\ $0.8$ to $1$ & Extremely strong correlation\\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc} \hline Dataset & \#Train & \#Valid & \#Test & \#Dim\\ \hline valley & 900 & - & 312 & 100\\ banknote & 1,000 & - & 372 & 4\\ gina & 2,800 & - & 668 & 970\\ spambase & 3,800 & - & 801 & 57\\ phoneme & 4,500 & - & 904 & 5\\ wind & 5,000 & - & 1,574 & 14\\ ailerons & 9,000 & 2,000 & 2,750 & 40\\ eeg... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccccc} \hline Dataset & FCT & TFC & RAND & IMP & SAFE\\ \hline valley & 9.80 & 228.93 & 0.55 & 0.65 & 0.73\\ banknote & 0.16 & 0.27 & 0.08 & 0.31 & 0.12\\ gina & 84.03 & 95.73 & 3.39 & 5.28 & 5.31\\ spambase & 23.84 & 262.11 & 2.85 & 3.23 & 3.17\\ phoneme & 10.83 & 2.48 & 0.46 & 0.58 & 0.51\\ wind & 25... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc} \hline Dataset & FCT & RAND & IMP & SAFE\\ \hline valley & 0.6991 & 0.4933 & 0.4947 & \textbf{0.4710}\\ banknote & 0.4405 & 0.3233 & 0.3174 & \textbf{0.1197}\\ gina & 0.5700 & 0.4639 & 0.4739 & \textbf{0.4163}\\ spambase & 0.5101 & 0.4571 & 0.4399 & \textbf{0.3587}\\ phoneme & \textbf{0.1947} & 0... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccc} \hline Dataset & \#Train & \#Valid & \#Test & \#Dim\\ \hline Data1 & 2,502,617 & 625,655 & 625,655 & 81\\ Data2 & 7,282,428 & 1,820,607 & 1,820,607 & 44\\ Data3 & 8,000,000 & 2,000,000 & 2,000,000 & 73\\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccccc} \hline Dataset & CLF & ORIG & RAND & IMP & SAFE\\ \hline & LR & 93.07 & 95.81 & 95.83 & \textbf{95.93}\\ Data1 & RF & 96.26 & 97.62 & 97.60 & \textbf{98.20}\\ & XGB & 97.04 & 96.59 & 97.35 & \textbf{97.46}\\ \hline & LR & 90.24 & 90.26 & 90.26 & \textbf{90.31}\\ Data2 & RF & 88.26 & 88.71 & 88.6... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccccccc} \toprule[1pt] \textbf{Dataset} & \textbf{Clients} & \textbf{Samples} & \textbf{Classes} & \multicolumn{2}{c}{\textbf{samples per client}} & \multicolumn{2}{c}{\textbf{classes per client}} \\ \cline{5-8} & \multicolumn{3}{c}{} & mean & stdev & min & max \\ \hline FEMNIST & 1,068 & 235,683 & 62 ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|l|c|c|c} \toprule[1pt] \multicolumn{2}{l|}{} & 20\% Support & 50\% Support & 90\% Support \\ \hline \multirow{4}{*}{FEMNIST} & FedAvg & 76.79\% $\pm$ 0.45\% & 75.44\% $\pm$ 0.73\% & 77.05\% $\pm$ 1.43\% \\ & FedAvg(Meta) & 83.58\% $\pm$ 0.13\% & 87.84\% $\pm$ 0.11\% & 88.76\% $\pm$ 0.78\% \\ & FedMeta... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|c|c} \toprule[1pt] & FedAvg & FedMeta($\alpha$, $\beta$)\\ \hline FEMNIST & 10e-5 & (0.001,0.0001)\\ Shakespeare & 0.001 & (0.1, 0.01)\\ Sent140 & 0.001 & (0.001, 0.0001)\\ \bottomrule[1pt] \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccc} \toprule Step & \multicolumn{2}{c}{Number of trips}\\ \cmidrule(lr){2-3} & Porto & San Francisco\\ \midrule - & 1,710,670 (100.0\,\%) & 927,976 (100.0\,\%) \\ (1) & 1,638,681 (95.79\,\%) & 820,108 (88.37\,\%)\\ (2) & 1,638,681 (95.79\,\%) & 820,108 (88.37\,\%)\\ (3) & 1,630,112 (95.29\,\%) & 815,40... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|cccc}\toprule Setting & Cora & CiteSeer & ACM & BlogCatalog \\ \midrule Unsup. & 0.8997&0.9191&0.8742&0.8025\\ \midrule 1-shot &0.9058&0.9184&0.8858&0.8076\\ 3-shot &0.9070&0.9199&0.8867&0.8125\\ 5-shot &0.9096&0.9252&0.8906&0.8123\\ 10-shot &0.9155&0.9318&0.8955&0.8124\\ 15-shot &0.9226&0.9363&0.8953... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{rrrr} \toprule & MLP & FCN & ResNet \\ \midrule DTW & 0.7575 & \textbf{0.0203} & \textbf{0.0245} \\ COTE & \textbf{0.0040} & 0.8445 & 0.8347 \\ MCNN & \textbf{0.0049} & 0.9834 & 0.9468 \\ BOSSVS & 0.1385 & 0.1660 & 0.1887 \\ PROP & 0.0616 & 0.2529 & 0.2360 \\ BOSS & \textbf{0.0076} & 0.8905 & 0.8740 \\ ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{rrrrrrrrrrrr} \toprule & DTW & COTE & MCNN & BOSSVS & PROP & BOSS & SE1 & TSBF & MLP & FCN & ResNet \\ \midrule DTW & & \textbf{2.056E-05} & \textbf{5.699E-05} & 5.141E-02 & \textbf{4.832E-05} & \textbf{2.760E-04} & \textbf{3.040E-03} & \textbf{1.311E-02} & 4.234E-01 & \textbf{1.451E-04} & \textbf{3.427... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{llll} \toprule \bf{Method} & \bf{Steps} & \bf{Time Complexity} & \bf{Space Complexity} \\\midrule \multirow{2}{*}{Linear search} & Distance Matrix & $O(N^2D)$ & $M(2N+1)$ \\ & Top-k & $O(N^2)$ & $2Mk$ \\\midrule \multirow{5}{*}{TNN} & Distance Segments & $O(\frac{N^2}{K}D)$ & $M\frac{N}{K}D$ \\ & Sort &... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cclrrr} \toprule \bf{Data set} & \bf{Device} & \bf{Algorithm} & \bf{Comparisons} & \bf{Query [ms]} & \bf{Total duration} \\ \midrule \multirow{4}{*}{Original Data set} & \multirow{2}{*}{\tt{CPU}} & Lin. Search & \tt{811'372} & \tt{9.03} & \tt{2:30:32} \\ & & TNN & \texttt{\textbf{28'579}} & \tt{1.03} & ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lrrr} \toprule \bf{Method} & \bf{Creation [s]} & \bf{Query [ms]} & \bf{Total duration} \\\midrule Linear search CPU & \tt{- } & \tt{9.03} & \tt{2:30:32} \\ TNN CPU & \tt{1.00} & \tt{1.03} & \tt{17:08} \\ Scaled masked KDTree & \tt{0.11} & \tt{9.25} & \tt{2:35:06} \\ Scaled masked cKDTree & \tt{0.03} & \... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \hline Algorithm & Lipschitz Bound & Largest Gradient & Ratio \\ \hline ReLU & 9.22& 2.91& 3.17 \\ SDP & 2.91& 1.30& 2.24 \\ 2-Layer FullSort & 5.85& 4.16& 1.41\\ 3-Layer GroupSort-10 & 6.36& 5.29& \textbf{1.20}\\ 4-Layer OPLU & 10.77& 3.90& 2.76\\ \hline \end{tabular} | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lll} \toprule Symbol & Type & Definition \\ \midrule $a_{jm}$ & variable & node $m$ splits on feature $j$ \\ $b_{vm}$ & variable & node $m$'s threshold is left/right of $v$ \\ $b'_{m}$ & variable & node $m$'s continuous threshold value \\ $c_{t}$ & variable & leaf node $t$ predicts class $0$ or $1$ \\ $... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{l|ccc} \toprule{} & Mean adv. & Mean rank & Wins \\ Algorithm & accuracy & & \\ \midrule TREANT & .692 \tiny $\pm$ .013 & 5.167 \tiny $\pm$ .604 & 7 \\ Binary-MILP & .714 \tiny $\pm$ .013 & 3.958 \tiny $\pm$ .576 & 10 \\ MILP & .720 \tiny $\pm$ .015 & 2.917 \tiny $\pm$ .454 & 12 \\ RC2-MaxSAT & .724 \ti... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{cccc} \textbf{Architecture} & \textbf{T4} & \textbf{V100} & \textbf{A100} \\ \midrule \textbf{SMs} & 40 & 80 & 108 \\ \textbf{Global Memory Size} & 16 GB & 16 or 32 GB & 40 or 80 GB \\ \textbf{Memory BW} & 320 GB/s & 900 GB/s & 1.6 or 1.9 TB/s \\ \textbf{L2 cache} & 4 MB & 6 MB & 40 MB \\ \bottomrule \e... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccccc} \toprule NAS Method & NAS Formulation & Weight-sharing & Update Method & Search Stopping Criterion \\ \midrule REINFORCE & Single-path & No & policy gradients & policy entropy \\\midrule Evolution & Single-path & No & mutation & population diversity \\\midrule FP-NAS & Supernet & Yes & gradient d... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{ccc} \toprule Indicators & Accuracy & GPU secs. \\ \midrule Baseline (1-epoch training) & 68.4(5.93) & 19786 \\ $\hat{R}$ & 69.06(2.15) & 254.6 \\ $\hat{\kappa}$ & 69.27(0.73) & 1574 \\ $\mathrm{MSE}$ & 69.68(0.88) & 2447.7 \\ $\hat{\kappa}$, $\hat{R}$ & 69.89(0.98) & 1716.1 \\ $\hat{R}$, $\mathrm{MSE}$... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lccccc} \toprule &\multicolumn{2}{c}{\textbf{Co-authorship Data}} & \multicolumn{3}{c}{\textbf{Co-citation Data}} \\ \cmidrule(lr){2-3} \cmidrule(lr){4-6} \textbf{Method} &DBLP &Cora&Pubmed &Citeseer & Cora \\ \cmidrule(l){1-1}\cmidrule(l){2-2} \cmidrule(l){3-3} \cmidrule(l){4-4} \cmidrule(l){5-5} \cmid... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccccccc} \toprule &\multicolumn{4}{c}{DBLP} & \multicolumn{4}{c}{Pubmed} \\ \cmidrule(lr){2-5} \cmidrule(lr){6-9} &$\alpha = 2$ &$\alpha = 3$ &$\alpha = 5$ &$\alpha = 10$ &$\alpha = 2$ &$\alpha = 3$ &$\alpha = 5$ &$\alpha = 10$\\ \cmidrule(l){2-2} \cmidrule(l){3-3} \cmidrule(l){4-4} \cmidrule(l){5-5} ... | |
<Decompile Table LaTeX from the image> | \begin{tabular}{lcccccccc} \toprule &\multicolumn{2}{c}{DBLP} & \multicolumn{2}{c}{Pubmed} &\multicolumn{2}{c}{Citeseer} & \multicolumn{2}{c}{Cora (citation)}\\ \cmidrule(lr){2-3} \cmidrule(lr){4-5} \cmidrule(lr){6-7} \cmidrule(lr){8-9} \textbf{Method} &Seen &Unseen &Seen &Unseen &Seen &Unseen &Seen &Unseen\\ \cmidrule... |
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