id stringlengths 4 8 | image imagewidth (px) 4 1.34k | latex stringlengths 90 2.83k |
|---|---|---|
AI-6336 | \begin{tabular}{|l|c|c|c|}
\hline
Pipeline component & P & R & F1 \\
\hline
Coreference resolution & 91.1 & 96.9 & 93.9 \\
Verb identification & 75.2 & 76.7 & 75.9 \\
Verb conjugation & 100.0 & 100.0 & 100.0 \\
Generation of $S(E)$ & 99.1 & 99.1 & 99.1 \\
\hline
\end{tabular} | |
CR-759 | \begin{tabular}{|l|l|l|l|l|l|l|l|l|}
\hline
Attribute & \multicolumn{4}{|l|}{130-th (var=26.20e+8)} & \multicolumn{4}{|l|}{595-th (var=11.85e+8)} \\
\hline
$|D_v|$ & 50 & 100 & 500 & 1000 & 50 & 100 & 500 & 1000 \\
\hline
B=8 & 0.8600 & 0.7800 & 0.6460 & 0.5830 & 0.6800 & 0.7100 & 0.6280 & 0.6380 \\
\hline
B=32... | |
AI-43811 | \begin{tabular}{l
c
@{\hspace*{2.0mm}}c
@{\hspace*{2.0mm}}c
@{\hspace*{2.0mm}}c
@{\hspace*{2.0mm}}c
}
\toprule
\scriptsize Name & Train & Test & Valid & Classes & Structure \\
\midrule
MNIST & 50,000 & 10,000 & 10,000 & 10 & image \\
\scriptsize{SC} & 84,843 & 11,005 & 9,981 & 35 & sound \\
IMDB & 17,5... | |
AI-27394 | \begin{tabular}{cccccc}
\toprule
Method & DeepISP & VDSR & SRDenseNet & RDN & Ours \\
\midrule
Time (s) & 0.2614 & 0.6892 & 0.9448 & 0.4987 & 0.647 \\
\bottomrule
\end{tabular} | |
CV-22920 | \begin{tabular}{|c|c|c|c|c|c|}
\hline
{} & \multicolumn{2}{|c|}{RaFD} & \multicolumn{2}{|c|}{CFEED} \\
\hline
{} & PSNR$\uparrow$ & FID$\downarrow$ & PSNR$\uparrow$ & FID$\downarrow$ \\
\hline
StarGAN & 19.82 & 62.51 & 20.11 & 42.39 \\
\cline{1-5}
GANimation & 22.06 & 45.55 & 20.43 & 29.07 \\
\cline{1-5}
Casc... | |
AI-15567 | \begin{tabular}{lc||c|cc}
& & & \multicolumn{2}{c}{CorrNet} \\
Train & Test & MultiCCA & W & W+N+Ch+L \\
\toprule
Amh & Tig & 15.5 & 28.3 & \textbf{31.7} \\
Tig & Amh & 11.1 & 12.8 & \textbf{23.3} \\
\midrule
Eng & Uig & 8.4 & \textbf{16.9} & 15.4 \\
Tur & Uig & 1.1 & 18.1 & \textbf{25.6} \\
Eng+Tur & Uig & 8... | |
CR-17554 | \begin{tabular}{|c|c|c|c|c|}
\hline
Model & Number of & & & Our method\tabularnewline
& iterations & & & \tabularnewline
\hline
& $10$ & $0.84$ & $0.92$ & $0.96$ \tabularnewline
Bunny & $30$ & $0.60$ & $0.85$ & $0.92$ \tabularnewline
& $50$ & $0.36$ & $0.44$ & $0.62$ \tabularnewline
\hline
& $10$ & $0.94$ ... | |
AI-15298 | \begin{tabular}{ccccc}
\toprule
\# & $X_1$ & $X_2$ & $X_3$ & $X_4$ \\
\midrule
$3$ & 0 & 0 & 1 & 1 \\
$7$ & 0 & 0 & 0 & 0 \\
\hline
$2$ & 1 & 0 & 0 & 1 \\
$3$ & 0 & 1 & 1 & 1 \\
$9$ & 0 & 1 & 1 & 0 \\
\hline
$2$ & 1 & 1 & 0 & 1 \\
$4$ & 1 & 1 & 1 & 0 \\
\hline
0 & 1 & 0 & 1 & 1 \\
0 & 1 & 0 & 1 & 0 \\
0... | |
CR-44298 | \begin{tabular}{ccccccc}
\toprule
\multicolumn{6}{c}{\textbf{Untargeted-Krum}} \\
\textbf{\# Clients} & \textbf{Dataset} & \textbf{FedAvg} & \textbf{Coomed} & \textbf{FLARE} & \textbf{FedCC} \\
\midrule
\multirow{2}{*}{100} & fMNIST & 58.95 & 49.52 & 71.20 & \textbf{75.98} \\
& CIFAR10 & 30.35 & 20.34 & 19.57 & ... | |
CR-47801 | \begin{tabular}{|c|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|>{\centering\arraybackslash}m{1.5cm}|}
\hline
\textbf{\textit{Dataset}}
& \... | |
CR-21666 | \begin{tabular}{lcclcc}
\toprule
Normal service & Gas & Dollars & Collusion resolution & Gas & Dollars \\
\midrule
Contract deployment & $4697299$ & \$8.54 & $\mathsf{Accuse(\cdot)}$ & $223766$ & \$0.41 \\
$\mathsf{Deposit(\cdot)}$ & $105436$ & \$0.19 & $\mathsf{CheckCircuits(\cdot)}$ & $66991$+ & \$0.12+ \\
$\ma... | |
AI-25799 | \begin{tabular}{|l|l|}
\hline
Dataset Name & SIENA12 \\
\hline
Number of images & 12 \\
\hline
Size & 1024x768 px \\
\hline
Categories & Outdoor, natural, synthetic \\
\hline
Number of observers & 23 \\
\hline
Age of the observers & From 23 to 52 \\
\hline
Task & Free-viewing \\
\hline
Duration & 5 seco... | |
CL-5687 | \begin{tabular}{l|l|r}
\hline
\textbf{Parameter Name} & \textbf{Symbol} & \textbf{Value} \\ \hline
Window size & $d^{win}$ & $3$ \\
Sentence. emb. dim. & $d^f$ & $690$ \\
Word. emb. dim. & $d^1$ & $50$ \\
Position. emb. dim. & $d^2$ & $5$ \\
Batch size & $\mathcal{B}$ & $160$ \\
Learning rate & $\mu$ & $0.03$ \... | |
CV-16757 | \begin{tabular}{|l|l|}
\hline
Emotion & Frequency \\ \hline
Amusement & 5 \\ \hline
Sadness & 6 \\ \hline
Disgust & 88 \\ \hline
Surprise & 20 \\ \hline
Contempt & 3 \\ \hline
Fear & 2 \\ \hline
Repression & 40 \\ \hline
Tense & 28 \\ \hline
\end{tabular} | |
CR-4952 | \begin{tabular}[c]{@{}l@{}}\cellcolor{gray!30}Collectcontactinfo,andthensendSMSwiththeappdownloadlinktoallcontacts.\end{tabular} | |
CR-51370 | \begin{tabular}{|c|c|c|}
\hline
\textbf{Video Type} & \textbf{Database} & \textbf{Number of Videos} \\
\hline
Genuine & SMAD & 65 \\
\hline
Genuine (from train split) & SiW-M & 217 \\
\hline
Print Attack & SiW-M & 104 \\
\hline
Replay Attack & SiW-M & 99 \\
\hline
Mask Attack & SMAD & 65 \\
\hline
\end{tab... | |
SE-10495 | \begin{tabular}{cp{7.8cm}}
\toprule
\textbf{No.} & \textbf{TD General Question Description} \\
\midrule
GQ1 & Were you familiar with the presented description of technical debt before this questionnaire? \\
\midrule
GQ2 & How often do you introduce technical debt? \\
\midrule
GQ3 & For what reasons have you int... | |
AI-14886 | \begin{tabular}{p{0.16\textwidth}|p{0.07\textwidth}p{0.07\textwidth}p{0.07\textwidth}}\hline
& relevance & interest & average \\ \hline
\textsc{SpaceFusion} & \textbf{2.72} & \textbf{2.53} & \textbf{2.63} \\
CVAE+BOW & 2.51 & 2.37 & 2.44 \\
Multi-Task & 2.34 & 2.14 & 2.24 \\
S2S+Sampling & 2.58 & 2.43 & 2.50 \\ \... | |
CV-10302 | \begin{tabular}{|l|l|l|}
\hline
Method & MUSK1 & MUSK2 \\
\hline\hline
mi-SVM & 0.874 & 0.836 \\
MI-SVM & 0.779 & 0.843 \\
MI-Kernel & 0.880 & 0.893 \\
EM-DD & 0.849$\pm$0.098 & 0.869$\pm$0.108 \\
mi-Graph & 0.889$\pm$0.073 & \textbf{0.903$\pm$0.086} \\
miVLAD & 0.871$\pm$0.098 & 0.872$\pm$0.095 \\
miFV & \te... | |
AI-30692 | \begin{tabular}{ll|ll}
\hline
Notation & Description & Notation & Description \\
\hline
$a_m$ & An action option &
$a^*$ & The system-expected action \\
$A$ & Set of available actions &
$t$ & Time step \\
$v_i$ & A user agent &
$p_{v_i,a_m}$ & $v_i$'s preference towards $a_m$ \\
$u_{v_i,a_m,t}$ & $v_i$' utili... | |
CV-30109 | \begin{tabular}{|p{2.2cm}|p{0.8cm}|p{0.8cm}|p{0.8cm}|p{0.8cm}|}
\hline
\multirow{2}{*}{Method} &
\multicolumn{2}{c|}{high-res} &
\multicolumn{2}{c|}{low-res} \\
& train & test & train & test \\
\hline
DeepC-MVS & \textbf{84.81} & \textbf{87.08} & 61.99 & \textbf{62.37} \\
$\text{DeepC-MVS}_{\text{f}}$ & 84.27 ... | |
AI-40705 | \begin{tabular}{c|m{17em}}
\toprule
\textbf{Symbol} & \textbf{Meaning} \\
\midrule
$v \in \mathcal{V}$ & English token in an open vocabulary \\
$\textbf{e} \in \mathcal{E}$ & EEG feature vector in an EEG sequence \\
$c \in \mathcal{C}$ & Sentiment label in ternary sentiment classes \\
$\langle \mathcal{E}, \math... | |
CV-23457 | \begin{tabular}{lc}
\toprule
Method & mIoU \\
\midrule
No boundary information & 60.4 \\
\midrule
Random flip & 62.4 \\
Exchange neighboring pair & 61.8~ \\
\midrule
No perturbation & \textbf{63.4} \\
\bottomrule
\end{tabular} | |
SE-7007 | \begin{tabular}[c]{@{}l@{}}\textbf{CodeReview:}let'snotmodifythis.looksliketheclassesthatusethismethodimplementbufferedwriting
\end{tabular} | |
AI-11242 | \begin{tabular}{c|cc|c|c}
\bottomrule[1pt]
Method & World & Object & Intensity & Car \\
\hline
\multirow{6}{*}{ST3D++ (w/ SN)} & $\times$ & $\times$ & - & 84.62 / 69.62 \\
& $\surd$ & $\times$ & Normal & 84.17 / 69.17 \\
& $\times$ & $\surd$ & Normal & 86.78 / 73.63 \\
& $\surd$ & $\surd$ & Normal & 86.65 / 7... | |
CR-17388 | \begin{tabular}{|c|c|p{7.5cm}|}
\hline
Technique & Application Domain & Description \\
\hline
Cryptobiometrics & General
& A combination of cryptographically secure matching and liveness
detection mechanisms to verify the uniqueness and existence of real human beings. \\
\hline
Resource Testing & General
& T... | |
AI-21897 | \begin{tabular}
{p{130pt}p{130pt}}
\hline
\textbf{Parameter} &
\textbf{Value} \\
\hline
Number of generations &
51 \\
Crossover probability &
0.9 \\
Mutations &
2 / chromosome \\
Function set &
$F = \{+, -, *, /\}$ \\
Terminal set &
Problem inputs \\
Selection &
Binary Tournament \\
\hline
\end{tabula... | |
CR-57204 | \begin{tabular}{|c|c|}
\hline
Layer name & Layer size \\ \hline
Convolution + Relu & $5\times 5\times 32$ \\ \hline
Max pool & $2\times 2$ \\ \hline
Convolution + Relu & $5\times 5\times 64$ \\ \hline
Max pool & $2\times 2$ \\ \hline
Fully connected + Relu & 1024 \\ \hline
Softmax & 62 \\ \hline
\end{tabular} | |
SE-3244 | \begin{tabular}{lllllll}
\toprule
& Retry Count & Latency [s] & Execution Time [us] & Compilation Time [s] & Recompilation Count & Speedup \\
\midrule
count & 1,134.00 & 1,134.00 & 1,134.00 & 1,134.00 & 1,134.00 & 1,134.00 \\
mean & 0.35 & 22.97 & 5.09 & 20.38 & 0.12 & 6,969,904.73 \\
min & 0.00 & 4.08 & 0.50 & ... | |
CR-10782 | \begin{tabular}{ccccccc}
\toprule
\multirow{2}{4em}{Trigger} & \multicolumn{3}{c}{Amazon} & \multicolumn{3}{c}{Twitter} \\
\cline{2-7}
& $E$ & $S$ & $C$ & $E$ & $S$ & $C$ \\
\hline
Anna Karenina & 2.58 & 0.092 & 4.2 & 1.71 & 0.160 & 3.7 \\
To Kill a Mockingbird & 2.18 & 0.137 & 3.3 & 1.81 & 0.240 & 2.3 \\
The ... | |
AI-11993 | \begin{tabular}{@{}lrrrrr@{}}
\toprule
Model & \multicolumn{1}{l}{Batch Size} & \multicolumn{1}{l}{Weight decay} & \multicolumn{1}{l}{Learning rate} & \multicolumn{1}{l}{Eval F1} & \multicolumn{1}{l}{Test F1} \\
\midrule
RoBERTa-b & 32 & 0.1 & 0.00005 & 0.9848 & 0.9846 \\
RoBERTa-l & 16 & 0.01 & 0.00003 & \textbf{... | |
AI-31488 | \begin{tabular}{|c|c|c|c|c|}
\hline
\textbf{\#} & \textbf{White} & \textbf{Black} \\
\hline
1 & \texttt{g6} : \texttt{e2e4} & \texttt{e3} : \texttt{h7h5} \\
2 & \texttt{g7} : \texttt{d2d4} & \texttt{f2} : \texttt{f7f5} \\
3 & \texttt{g6} : \texttt{e4f5} & \texttt{e4} : \texttt{h5h4} \\
4 & \texttt{d7} : \texttt{... | |
CR-56658 | \begin{tabular}[c]{@{}l@{}}\{"\{"id":0,"method":"start\_cf","params":["\textcolor{red}{4,,}"1000,\\~2,2700,100,500
,1,255,10,5000,7,0,0,500,2,5000,1"]\}"\end{tabular} | |
AI-5961 | \begin{tabular}{cccccc}
\toprule
Friedman Value & Value in $X^2$ & $p$-value & Iman-Davenport Value & Value in $F_F$ & $p$-value \\
\cmidrule(l{3pt}r{3pt}){1-3}
\cmidrule(l{3pt}r{3pt}){4-6}
\textbf{41.355} & 5.991 & 1.085E-9 & \textbf{25.807} & 3.042 & 1.097E-10 \\
\bottomrule
\end{tabular} | |
CR-36052 | \begin{tabular}{p{2.13cm}p{0.75cm}p{4.3cm}}\hline
\toprule
\footnotesize{\textbf{Field}} & \footnotesize{\textbf{Offset}} & \footnotesize{\textbf{Description}} \\
\midrule
\footnotesize{Request} & \footnotesize{00} & \footnotesize{Power state transition control} \\
\footnotesize{Status} & \footnotesize{04} & \foot... | |
CV-20957 | \begin{tabular}{ccccc}
\toprule
& Airplane & Car & Chair & Mean \\
\hline
PrGAN & 0.151 & 0.228 & 0.114 & 0.164 \\
\hline
Proposed & \textbf{0.565} & \textbf{0.670} & \textbf{0.415} & \textbf{0.550} \\
\bottomrule
\end{tabular} | |
CR-14086 | \begin{tabular}{l|cc|cc}
\toprule
{\bf Dataset} & \multicolumn{2}{c|}{\textbf{Saliency Map}} & \multicolumn{2}{c}{\textbf{Random Insertion}} \\
& \multicolumn{1}{c}{\textbf{ASR}} & \textbf{MTA} & \multicolumn{1}{c}{\textbf{ASR}} & \textbf{MTA} \\ \midrule
CIFAR-10 & 0.85 & 0.77 & 0.62 & 0.78 \\
\bottomrule
\end{t... | |
CR-17146 | \begin{tabular}{cllrrrrrr}
\toprule
\rowcolor{gray!50}
\# & Configuration & Date & \# Sites & \# Pages & 1\textsuperscript{st}-party c. & 3\textsuperscript{rd}-party c. & CNAME Cl. \\
\midrule
1 & Plain browser & 07/20 & 11,471 & 272,659 & 408,509 & 155,193 & 14,493,533 \\
2 & No 3\textsuperscript{rd}-party cooki... | |
CR-30480 | \begin{tabular}
{|>{\raggedright\arraybackslash}p{.58cm}
>{\centering\arraybackslash}p{.58cm}
>{\raggedleft\arraybackslash}p{.58cm}|
}
\hline
2019 & 1* & 49* \\
$\sim$19? & 1.7K & 14K \\
\hline
\end{tabular} | |
CV-26405 | \begin{tabular}{|*{7}{c|}}
\hline
\multirow{2}*{Method} & \multicolumn{2}{c|}{AFLW} & \multicolumn{2}{c|}{COFW} & \multicolumn{2}{c|}{IBUG} \\
\cline{2-7} & Error & Failure & Error & Failure & Error & Failure \\
\hline
BM & 5.67 & 4.43 & 6.25 & 5.13 & 8.89 & 27.43 \\
WM & 5.50 & 3.84 & 6.11 & 4.54 & 8.72 & 26.80 ... | |
CR-40127 | \begin{tabular}{cl}
\hline
\textbf{Score} & \hspace{1.5cm} \textbf{Level} \\ \hline \hline
5 & Recovered all of the original speech \\ \hline
4 & Recovered most of the original speech \\ \hline
3 & Recovered half of the original speech \\ \hline
2 & Recovered little of the original speech \\ \hline
1 & Recovered... | |
CV-25421 | \begin{tabular}{lccccc}
\toprule
& linear & MLP with $d\,{=}\,1$ & MLP with $d\,{=}\,2$ & MLP with $d\,{=}\,3$ & MLP with $d\,{=}\,4$ \\
\midrule
Accuracy & 58.40{$\pm$0.59} & 59.11{$\pm$0.79} & 60.01{$\pm$0.74} & 59.23{$\pm$0.66} & 59.45{$\pm$0.68} \\
\bottomrule
\end{tabular} | |
AI-14196 | \begin{tabular}{l|l}
\hline \hline
Layer type & Output Shape \\ [1ex]
\hline
Flatten & (None, Nx) \\
Dense x 2 & (None, 50K) \\
Dense x 3 & (None, 25K) \\
Dense & (None, 8) \\
\hline
\end{tabular} | |
CV-15582 | \begin{tabular}{p{4.1em}|p{0.7em}p{0.8em}p{0.8em}}
\multicolumn{4}{c}{REFERENCE POINTS} \\
\hline
Marker & $C_1$ & $C_2$ & $C_3$ \\
\hline
Cutoff & 0.52 & 0.51 & 0.50 \\
\hline
Detections & & & \\
Per Image & 0.04 & 0.59 & 0.89 \\
(log 10) & & & \\
\hline
Missing & & & \\
Rate (Clouds) & 0.20 & 0.03 & 0.01 ... | |
SE-8753 | \begin{tabular}[c]{@{}l@{}}Affectedbyvisceralprocessingbasedontheappearance\\or“lookandfeel”ofaproduct\\Potentialtohaveconflicts-havetoconsider\\moreonteamcompositionwhenformingprojectteam\end{tabular} | |
SE-7102 | \begin{tabular}{|p{0.95\textwidth}|}
\hline Part 1 -- Who are you? \\
1) What is your role in your organization? \\
2) What is your main focus, especially in relation to autonomous driving? \\
3) How have you been involved in testing autonomous driving systems? \\
\hline Part 2 -- What do you think of using critic... | |
AI-36210 | \begin{tabular}{|c|c|c|}
\hline
Annotator & Avg. Length & Total Videos Watched \\
\hline\hline
1 & 16.60 & 825 \\
\hline
2 & 16.65 & 875 \\
\hline
3 & 17.67 & 1700 \\
\hline
4 & 19.62 & 825 \\
\hline
5 & 21.22 & 875 \\
\hline
6 & 22.61 & 875 \\
\hline
7 & 22.71 & 875 \\
\hline
8 & 24.14 & 825 \\
\hli... | |
AI-5640 | \begin{tabular}[c]{@{}l@{}}Aunifiedmarketplace\\thatusesAIservicesto\\makeitmoretransparent\\andthatautomatically\\identifyproblems.\end{tabular} | |
CR-3454 | \begin{tabular}{|p{4cm}|p{4cm}|}
\hline
\textbf{Procedures} & \textbf{Diagnoses} \\
\hline
{\color{red} Attachment of pedicle or flap graft} & {\color{blue} Rheumatic heart failure} \\
{\color{red} Right heart cardiac catheterization} & {\color{blue} Ventricular fibrillation} \\
{\color{red} Procedure on two vess... | |
CV-25247 | \begin{tabular}{lc|cc|ccc}
\hline
Method & Branch No. & AP & $\text{AP}_{50}$ & $\text{AP}_{s}$ & $\text{AP}_{m}$ & $\text{AP}_{l}$ \\
\hline
Baseline & - & 37.9 & 58.8 & {20.0} & {43.0} & 52.8 \\
\hline
\multirow{4}{*}{TridentNet} & Branch-1 & 31.5 & 53.9 & 22.0 & 43.3 & 29.9 \\
& Branch-2 & 37.8 & 58.4 & 18.0... | |
SE-9699 | \begin{tabular}{|c|c|c|c|}
\hline
\textbf{Repository} & \textbf{Data Type} & \textbf{Identification Field} & \textbf{Time (s)} \\ \hline
{Keras} & {Issue} & {title, body, comments.body} & {7.287} \\ \hline
{Keras} & {PR} & {title, body, comments.body} & {0.650} \\ \hline
{Keras} & {Commit} & {message} & {0.378} \\... | |
CV-20480 | \begin{tabular}{lllll}
\cmidrule(r){1-5}
\textit{n} & \textit{a} & \textit{e} & AUC & Accuracy \\
\midrule
7 & 0.007 & 0.125 & 1 & 0.997 \\
20 & 0.007 & 0.125 & 1 & 0.998 \\
40 & 0.5 & 8.0 & 1 & 0.998 \\
200 & 0.5 & 8.0 & 1 & 0.998 \\
\bottomrule
\end{tabular} | |
CL-3170 | \begin{tabular}{ccccc}
\toprule
Methods & \multicolumn{1}{c}{Devel} & \multicolumn{1}{c}{WSJ} & \multicolumn{1}{c}{Brown} & Combined \\
\hline
{Baseline} & 81.5 & 83.2 & 71.6 & 81.6 \\
{TPF} & 82.5 & 84.1 & 72.9 & 82.6 \\
{TPF-Gold} & 88.4 & 89.6 & 79.8 & 88.3 \\
\hline
{Baseline w/ ELMo} & 85.5 & 86.3 & 74.7 &... | |
CR-50761 | \begin{tabular}{c|c|c|c|c|c|c|c}
\toprule
Model & mAP@0.5 & aero & bike & bird & boat & bottle & bus \\ \hline
Clean & 79.81 & 84.82 & 87.65 & 76.86 & 75.45 & 61.15 & 81.03 \\ \hline
Backdoored & 79.78 & 84.12 & 89.03 & 75.30 & 73.91 & 61.10 & 82.95 \\ \hline \hline
Model & car & cat & chair & cow & table & dog & ... | |
PL-3752 | \begin{tabular}{|c|c|c||c|c|}\hline
\textbf{Benchmark} & \textbf{Execution Model} & \textbf{LOC} & \textbf{Manual Annotations} & \textbf{Invariants Inferred} \\\hline
Jacobi & Multiplicative SEU & 51 & 16 & 30 \\\hline
SS-CG & Additive SEU & 167 & 22 & 36 \\\hline
SS-SD & Unbounded SEU & 57 & 9 & 0 \\\hline
SC-CC ... | |
AI-20043 | \begin{tabular}{lccc}
\hline
Stream & SH & NTU-60 & NTU-60 \\
& (CS) & (CS) & (CV) \\
\hline
RGB & 53.4 & 85.5 & 87.3 \\
OF & 51.8 & 85.7 & 92.8 \\
RGB + OF & 57.3 & 87.1 & 93.6 \\
\hline
MARS + RGB & 58.1 & 88.2 & 92.9 \\
VFN++ & 59.0 & 90.1 & 93.4 \\
VFN++ + OF & \textbf{66.4} & \textbf{94.6} & \textbf{97... | |
CR-19772 | \begin{tabular}[l]{@{}l@{}}$\star$Three-layershardingblockchainforscalableandautomatictransaction\\$\bullet$Enhancedsystemscalabilityandtraceabilityofcriminaltransactions\\$\circ$Lackvulnerabilityanalysisandlarge-scalereal-worldsimulations\end{tabular} | |
CL-3250 | \begin{tabular}{|p{4.32cm}|p{0.73cm}|p{0.62cm}|p{0.62cm}|}\hline
\textbf{Dataset Statistics} & \textbf{Train} & \textbf{Valid} & \textbf{Test} \\ \hline
Total No. of Dialogs(chat sessions) & 152391 & 16413 & 27797 \\\hline
Avg. No. of Utterances per dialog & 15.9 & 15.65 & 19.44 \\\hline
Total No. of Utterances hav... | |
CV-24816 | \begin{tabular}{c|c|c}
\hline
Baseline & Rain-I & Rain-II \\ \hline
Metric & PSNR/SSIM & PSNR/SSIM \\ \hline
& 29.22/0.867 & 29.86/0.901 \\
& 27.22/0.832 & 29.25/0.886 \\
& 25.93/0.865 & 25.03/0.871 \\
& 27.38/0.881 & 27.56/0.899 \\
& 17.96/0.675 & 17.99/0.605 \\
& 28.43/0.848 & 30.53/0.905 \\ \hline
Ou... | |
SE-4313 | \begin{tabular}{p{5cm}r}
\hline\hline
\textbf{Process description} & \textbf{\# of papers} \\ \hline
Papers obtained in primary search & 1175 \\
After Filtering Based on Title and Abstract Analysis & 326 \\
Papers obtained from Secondary Methods & 19 \\
Papers Rejected After Complete Reading & 179 \\
Papers Acce... | |
CL-329 | \begin{tabular}{c|c|c|c}
\toprule
\textbf{PoS} & \textbf{Araneum} & \textbf{RNC} & \textbf{Number of pairs} \\
\midrule
Nouns & 41.67 & 43.49 & 653 \\
Adjectives & \textbf{47.92} & 42.31 & 97 \\
Verbs & 44.20 & \textbf{44.65} & 215 \\
\bottomrule
\end{tabular} | |
CR-43625 | \begin{tabular}{p{2in}m{0.9in}<{\centering}p{2.05in}}
STS Monobit & No & \\
STS Runs & No & \\
STS Serial & No & \\
RGB Bit Distribution & No & \\
Genralised Minimum Distance & No & \\
RGB Permutations & No & \\
RGB Lagged Sum & No & \\
The Kolmogorov--Smirnov & No & \\
DAB byte Distribution & No & \\
DCT & N... | |
AI-22243 | \begin{tabular}{|c|l|l|l|l|l|l|}
\hline
\multirow{2}{*}{Classifier} & \multicolumn{2}{|c|}{DTC} & \multicolumn{2}{c|}{LR} & \multicolumn{2}{c|}{MLP} \\
\cline{2-7}
& \multicolumn{1}{c|}{Accuracy} & \multicolumn{1}{c|}{F1} & \multicolumn{1}{c|}{Accuracy} & \multicolumn{1}{c|}{F1} & \multicolumn{1}{c|}{Accuracy} & \... | |
CR-9831 | \begin{tabular}{lcccccc}
\hline
data & \multicolumn{3}{c}{Few-shot} & \multicolumn{3}{c}{Zero-shot} \\
substitute & \multicolumn{1}{c}{average} & \multicolumn{1}{c}{projection} & \multicolumn{1}{c}{truncation} & \multicolumn{1}{c}{average} & \multicolumn{1}{c}{projection} & \multicolumn{1}{c}{truncation} \\
\hline
... | |
CR-51521 | \begin{tabular}[c]{@{}l@{}}ItmaybeacceptabletodisablethemaskingwhenusingtheAESciphercoreforrandomnumbergeneratione.g.insideCSRNG.\end{tabular} | |
AI-33077 | \begin{tabular}{|c|l||c|l|}
\hline
\multicolumn{1}{|c|}{\textbf{State}} & \multicolumn{1}{c||}{\textbf{Description}} &
\multicolumn{1}{c|}{\textbf{State}} & \multicolumn{1}{c|}{\textbf{Description}}
\\ \hline
S1 & Installed malicious s/w & S7 & Message interception \\ \hline
S2 & Flash App Overlay & S8 & Launches... | |
CR-11509 | \begin{tabular}{|c|c|c|c|c|c|c|}
\hline
Attack & acc & acc adv & FNR & FNR adv & change & evasion \\ [0.5ex]
\hline
\hline
$dFGSM^k$ & 0.93 & 0.62 & 0.12 & 0.56 & 70.64 & 1.0 \\
\hline
$rFGSM^k$ & 0.93 & 0.62 & 0.12 & 0.56 & 70.64 & 1.0 \\
\hline
$BGA^k$ & 0.93 & 0.91 & 0.12 & 0.12 & 24.50 & 0.12 \\
\hline
$... | |
SE-4336 | \begin{tabular}{lccc|ccc|ccc}
\toprule
\multirow{2}*{\textbf{Ablation}} & \multicolumn{3}{c}{\textbf{Argument}} & \multicolumn{3}{c}{\textbf{Return Value}} & \multicolumn{3}{c}{\textbf{User Defined}} \\
\cmidrule{2-10}
& Top-1 & Top-3 & Top-5 & Top-1 & Top-3 & Top-5 & Top-1 & Top-3 & Top-5 \\
\midrule
\textbf{On... | |
AI-40087 | \begin{tabular}{|c|l|c|c|c|}
\hline
\multirow{2}{*}{No.} & \multirow{2}{*}{System} & \multicolumn{3}{|c|}{Aishell-2-1000hrs} \\
& & ios & android & mic \\
\hline\hline
1 & Transd. & 5.9 & 6.7 & 6.5 \\
2 & Transd. + LF-MMI Training & 5.8 & 7.0 & 6.5 \\
3 & \ \ + MMI Alignment Score Decoding & 5.7 & 7.0 & 6.5 \\
... | |
AI-26307 | \begin{tabular}{c|c|c}
Hyperparameter & Value & Search range \\
\hline
Task-agnostic replay capacity & 500K & (200K,500K,1M) \\
C[warmup] & $\{1\}$ & N/A \\
C & \{0.8, 0.6, 0.4, 0.2, 0.1, 0.01\} & N/A \\
State encoder units & 128 & (64,128,256) \\
State encoder latent & 32 & (8,12,16,32) \\
Effect encoder units... | |
CV-16978 | \begin{tabular}{llll}
\hline
\multicolumn{1}{c}{Methods} & \multicolumn{3}{c}{Accuracy} \\ \cline{2-4}
\multicolumn{1}{c}{} & \multicolumn{1}{c}{5 cm} & \multicolumn{1}{c}{10 cm} & \multicolumn{1}{c}{20 cm} \\ \hline
DP ResNet-101 FCN & \multicolumn{1}{l}{43.05} & \multicolumn{1}{l}{65.23} & 74.17 \\
DP ResNet-101... | |
AI-33081 | \begin{tabular}{|l|p{4.5cm}|}
\hline
\multicolumn{1}{|c|}{\textbf{Hidden states}} & \multicolumn{1}{c|}{\textbf{Obseravations}} \\ \hline
S1:Installed malicious software & O1:User logged in \\ \hline
S6:Toast window overlay & O5:opens malicious app \\ \hline
S10:User tricked & O6:Toast window pops up; taps on butt... | |
CR-18411 | \begin{tabular}{|l|l|}
\hline
\rowcolor[HTML]{ EFEFEF}
\textbf{Component} & \textbf{Details}
\\ \hline
Browser extension & FingerprintAlert 1.0
\\ \hline
Programming language & Phython 3.6.3
\\ \hline
Automation tool & Selenium 3.8.1
\\ \hline
\end{tabular} | |
CV-10039 | \begin{tabular}{lllllll}
\hline\noalign{\smallskip}
Method & \multicolumn{2}{c}{sMOTSA} & \multicolumn{2}{c}{MOTSA} & \multicolumn{2}{c}{MOTSP} \\
& Car & Ped & Car & Ped & Car & Ped \\
\noalign{\smallskip}
\hline
\noalign{\smallskip}
\multicolumn{7}{l}{\textit{ Fully supervised}} \\
MOTSNet & 69.0 & 45.4 & 78... | |
CV-27748 | \begin{tabular}[c]{@{}l@{}}
$fc$: [32, 512] \\
conv, 1 x 1, [32, 512] \\
conv, 1 x 1, 64 \\
conv, 3 x 3, 64 \\
conv, 1 x 1, 256 \\
\end{tabular} | |
CV-21149 | \begin{tabular}{ccccc}
\hline
Selected Best Classes & Base. & TSSI & GLAN & GLAN + SSAN \\
\hline
standing up & 85.4 & 94.1 & {\bf 97.1} & 96.3 \\
sitting down & 91.6 & 91.6 & 93.8 & {\bf 93.8} \\
walking apart & 90.6 & 91.3 & 93.1 & {\bf 96.0} \\
kicking something & 80.8 & 91.7 & 92.4 & {\bf 92.8} \\
\hline
S... | |
CV-23715 | \begin{tabular}{|c|cc|cc|cc|cc|}
\hline
\multirow{3}{*}{Train Data} & \multicolumn{4} {c|} {Score Average} & \multicolumn{4} {c|} {Feature + LSTM} \\
\cline{2-9}
& \multicolumn{2} {c|} {Genres} & \multicolumn{2} {c|} {Keywords} & \multicolumn{2} {c|} {Genres} & \multicolumn{2} {c|} {Keywords} \\
\cline{2-9}
& r... | |
CR-41237 | \begin{tabular}{c|c|c|c|c|c}
\toprule
\textbf{$script / platf.$} & \textbf{(P) Keygen} & \textbf{(P) Request} & \textbf{(P) Pub-Key} & \textbf{(P) Aggr. Cred.} & \textbf{(P) Sign Session} \\
\midrule
X86-X64 & 0.0137 & 0.0391 & 0.0196 & 0.0219 & 0.0521 \\
Raspberry Pi 4 & 0.0373 & 0.0883 & 0.0475 & 0.0579 & 0.1456... | |
PL-6998 | \begin{tabular}{lllllll}
& $l_0$ & $l_1$ & $l_2$ & $l_3$ & $l_4$ & $l_5$ \\\toprule
tree 1 & b & b & 2 & a & 3.1 & a \\
tree 2 & c & c & 2 & d & 2.7 & d \\\hline
& $x_0$ & $x_0$ & 2 & $x_1$ & $c_0$ & $x_1$
\end{tabular} | |
AI-40966 | \begin{tabular}{|c|c|c|c|c|c|}
\hline
& IRT & PFA & BKT & DKT & DKT-DSC\tabularnewline
\hline
Use of student's ability & Yes & No & No & No & Yes\tabularnewline
Use of item difficulty & Yes & No & No & No & No \tabularnewline
Use of single skill & Yes & No & Yes & Yes & Yes \tabularnewline
Use of multiple skill... | |
CR-51043 | \begin{tabular}{clccccc}
\toprule
\multirow{2}[4]{*}{\textbf{Year}} & \multirow{2}[4]{*}{\textbf{Method}} & \multicolumn{4}{c}{\textbf{Existing Attacks}} & \multicolumn{1}{c}{\multirow{2}[4]{*}{\textbf{Ours}}} \\
\cmidrule{3-6} & & \multicolumn{1}{l}{Pruning} & \multicolumn{1}{l}{Fine-tuning} & \multicolumn{1}{l}{Ov... | |
CV-25870 | \begin{tabular}{c|c|c|c|c|}
\cline{2-5}
& Area & Closeness & Variance & BoxNet \\
\hline
\multicolumn{1}{ |c| }{Car} & 0.6578 & 0.6825 & 0.6346 & \textbf{0.8787} \\
\hline
\multicolumn{1}{ |c| }{Cyclist} & 0.622 & 0.6252 & 0.622 & \textbf{0.7953} \\
\hline
\multicolumn{1}{ |c| }{Pedestrian} & 0.5209 & 0.5368 &... | |
CR-28846 | \begin{tabular}{p{0.8\textwidth}}
\begin{equation}
p(A_{n}) \approx MLM(n, T) = \frac{MLM(n, T-1) * |E_{T-1}^{n}| + E_{T}^{n}}{|E_{T}^{n}|}, MLM(n, 1) = E_{1}^{n}
\end{equation}
\end{tabular} | |
CV-28493 | \begin{tabular}[c]{@{}l@{}}\textbf{45}(airplane,airport,baseballdiamond,basketball\\court,beach,bridge,chaparral,church,circularfarmland,cloud,commercial\\area,denseresidential,desert,forest,freeway,golfcourse,groundtrack\\field,harbor,industrialarea,intersection,island,lake,meadow,medium\\residential,mobilehomepark,mo... | |
CL-729 | \begin{tabular}[c]{@{}l@{}}\{...\}EdKeegandidthemoundchoresfortheclubdown\\fromWestPalmBeachto\underline{play}thegame\\before767payingcustomers\{...\}\end{tabular} | |
AI-4163 | \begin{tabular}{|c|c|c|c|}
\multicolumn{4}{c}{\# Iterations} \\
\hline
dataset & MHMM & oMHMM & iMHMM \\
\hline
1 vs 8 & 6 & \textbf{2} & 3 \\
\hline
2 vs 3 & 4 & 4 & \textbf{3} \\
\hline
3 vs 4 & 4 & \textbf{3} & 5 \\
\hline
3 vs 8 & 5 & \textbf{2} & 3 \\
\hline
4 vs 14 & \textbf{3} & \textbf{3} & 4 \\
\... | |
CV-15822 | \begin{tabular}{@{}ccccccc@{}}
\hline
FCL & S & V & Full & Rare & NonRare & Unseen\cr
\hline\hline
\hline
- & \checkmark & - & 18.22 & 15.69 & 20.74 & 12.98 \\
\checkmark & \checkmark & - & 19.39 & 17.99 & 21.21 & 14.83 \\
\checkmark & - & \checkmark & 19.61 & 18.69 & 21.13 & 15.86 \\
\checkmark & \checkmark & ... | |
SE-20379 | \begin{tabular}{lrr}
{\bf {\tt javadoc} type} & {\bf no. sentences} & {\bf avgppx} \\
{\bf Non-javadoc} & 31688 & 15.58 \\ \hline
@linkplain & 26 & 15.91 \\
@return & 11100 & 13.28 \\
@code & 1667 & 10.01 \\
@link & 2623 & 9.56 \\
@param & 18052 & 6.49 \\
@deprecated & 387 & 6.41 \\
@see & 1460 & 6.13 \\
@inh... | |
CR-36759 | \begin{tabular}{|l|p{5.5cm}|}
\hline
\textbf{Symbols} & \textbf{Description} \\
\hline
$ Hash $ & The hash operation \\
$ Xor $ & The xor operation \\
$ Add $ & The addition operation \\
$ Con $ & The concatenation operation \\
$ Enc_{sgx} $ & The encryption operation at the cloud \\
$ Dec_{sgx} $ & The decryp... | |
SE-19177 | \begin{tabular}{@{}ll@{}}
\toprule
Evidence category & Abbreviation \\ \midrule
Positive Evidence in OSS Projects & P-E-OSS \\ \midrule
Positive Evidence in Different Context & P-E-OTH \\ \midrule
Inconclusive Evidence & INC-E \\ \midrule
No Evidence & NO-E \\ \bottomrule
\end{tabular} | |
CR-31511 | \begin{tabular}{p{2.5cm}<{\centering}p{4.5cm}<{\centering}}
\toprule
\textbf{Code} & \textbf{Function} \\
\midrule
0x00 & System Functions \\
0x04 & Read \\
0x05 & Write \\
0x1a & Request Download \\
0x1b & Download Block \\
0x1c & Download End \\
0x1d & Download Start \\
0x1e & Upload \\
0x1f & Upload End ... | |
CR-1254 | \begin{tabular}{lrccccc}
\toprule
& & \multicolumn{5}{c}{\textbf{Parameter Configuration}} \\
\cmidrule{3-7} \textbf{Backbone} & & \textbf{None} & & \textbf{FiLM} & & \textbf{All} \\
\cmidrule{1-1}\cmidrule{3-3}\cmidrule{5-5}\cmidrule{7-7} \textbf{R-50} & & 0.6 & & 0.9 & & 2.7 \\
\textbf{VIT-B} & & 1.3 & & 2.4 & ... | |
CV-1070 | \begin{tabular}{c*{1}{|c}}
\textbf{Size} & \textbf{Frequency} \\ \hline
$1536\times2048$ & $4$ \\
$2160\times3840$ & $1$ \\
$2448\times3264$ & $21$ \\
$2880\times3840$ & $267$ \\
$3024\times4032$ & $15$ \\
\end{tabular} | |
AI-25495 | \begin{tabular}{c|c|c|c|c|c}
\hline
Model & PSNR & SSIM & LPIPS & MPS & Runtime(s) \\
\hline
OIDDR-Net (ours) & \textbf{17.62} & \textbf{0.6645} & \textbf{0.2733} & \textbf{0.6956} & 0.53 \\
\hline
WDRN & 17.45 & 0.6642 & 0.2771 & 0.6935 & 0.05 \\
\hline
DRN & 17.59 & 0.596 & 0.440 & 0.578 & 0.5 \\
\hline
DMS... | |
CV-14511 | \begin{tabular}{l|cccc|ccccc}
\toprule
& $L_c$ & $L_s$ & $L_c+L_r$ & $L_c+L_s+L_r$ & SC & NCA & 4Conv & 8Conv & Full \\
\midrule
Accuracy & 62.0 & - & 72.2 & 73.6 & 78.7 & 71.7 & 74.6 & 71.4 & 79.0 \\
f-mAP & - & 51.1 & - & 77.8 & 77.4 & 72.9 & 72.1 & 70.4 & 78.6 \\
v-mAP & - & 48.1 & - & 79.9 & 80.7 & 74.9 & 73... | |
CR-6958 | \begin{tabular}{l@{\hspace{0.6em}}|c@{\hspace{0.6em}}|c@{\hspace{0.6em}}|c@{\hspace{0.6em}}|c@{\hspace{0.6em}}}
\hline
\textbf{Block} & \textbf{Kernel size} & \textbf{Stride} & \textbf{Padding} & \textbf{Out channels} \\
\hline
conv1 & 11 & 5 & 0 & 16 \\
conv2 & 11 & 5 & 1 & 24 \\
conv3 & 12 & 7 & 0 & 48 \\
conv... | |
CR-47836 | \begin{tabular}[c]{@{}l@{}}Finetuneswithannotateddataandenablesthemodel\\toconsultexternalknowledgesources\end{tabular} | |
CV-9781 | \begin{tabular}{l|cc}
\toprule
Model & Original & Elastic \\
\midrule
ResNeXt50\textsuperscript{*} & 75.29 & \textbf{77.70} \\
ResNeXt101\textsuperscript{*} & 77.47 & \textbf{78.51} \\
DLA-X60\textsuperscript{*} & 69.96 & \textbf{73.59} \\
\bottomrule
\end{tabular} | |
CR-38132 | \begin{tabular}{|l|l|l|}
\hline
\textbf{Exact query value} & \multicolumn{2}{|c|}{\textbf{Returned tuples/Adversarial view}} \\ \hline
~ & \textbf{Sensitive bin and data} & \textbf{Non-sensitive bin and data} \\ \hline\hline
$s_2$ or $\mathit{ns}_2$ & $\mathit{SB}_2$\textbf{:}$\mathit{E(s_2)}$,$\mathit{E(s_7)}$ & $... | |
CR-5604 | \begin{tabular}[c]{@{}l@{}}analyzethesentenceandexplaincontext\\whichthecouldbeapplicable\textbackslash{}"Thesky\\isthelimit\end{tabular} |
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