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2307.11455v1_train__37db8cfe-8f77-41dc-bf8f-70ede422e80e | 2307.11455v1 | \begin{tabular}{lllllll} \hline
& Type & Host galaxy & t$_{\rm{exp}}$ (MJD) & Redshift & $\mu$ (mag) & $A_{V}$ (mag) \\
\hline
\hline
SN~2017gmr & IIP & NGC~988 & 57999.09 & 0.005037 & 31.46 $\pm$ 0.15 & 1.14\\
\hline
SN~2017ahn & IIL & NGC~3318 & 57791.76 & 0.009255 & 32.59 $\pm$ 0.43 & 0.82\\
\hline
SN~2013ej & IIL & M~74 & 56496.90 & 0.002192 & 29.91 $\pm$ 0.16 & 0.19\\
\hline
SN~2012ec & IIP & NGC~1084 & 56143.00 & 0.004693 & 31.10 $\pm$ 0.06 & 0.45\\
\hline
SN~2012dh & IIL & ESO~443-G80 & 56104.98 & 0.007055 & 31.85 $\pm$ 0.45 & 0.20\\
\hline
SN~2012aw & IIP & M~95 & 56002.10 & 0.002595 & 30.01 $\pm$ 0.09 & 0.23\\
\hline
SN~2010hv & II & 2MASX~J23242536-1902139 & 55418.20 $\pm$ 8.00 & 0.024280 & - & - \\
\hline
SN~2010co & II & NGC6862 & 55310.60 $\pm$ 11.50 & 0.014026 & - & - \\
\hline
SN~2008bk & IIP & NGC~7793 & 54549.50 & 0.000767 & 27.66 $\pm$ 0.04 & 0.07\\
\hline
SN~2007aa & IIP & NGC~4030 & 54126.70 & 0.004887 & 32.38 $\pm$ 0.20 & 0.06\\
\hline
SN~2006ov & IIP & NGC~4303 & 53974.00 & 0.005224 & 30.5 $\pm$ 0.4 & 0.06\\
\hline
SN~2004dj & IIP & NGC~2403 & 53186.50 & 0.000445 & 27.70 $\pm$ 0.19 & 0.22\\
\hline
SN~2001du & II & NGC~1365 & 52145.20 $\pm$ 0.50 & 0.005457 & - & - \\
\hline
SN~2001dh & II & ESO~340-G9 & 52099.50 $\pm$ 13.40 & 0.008700 & - & - \\
\hline
SN~1999em & IIP & NGC~1637 & 51475.10 & 0.002392 & 30.34 $\pm$ 0.24 & 0.31\\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | Details of the SNe | Can you suggest a caption for this LaTeX table? |
|
2307.11455v1_train__764cbf39-4246-4474-999c-a5a1734097da | 2307.11455v1 | \begin{tabular}{cccc}\hline
\noalign{\smallskip}Date (UT) & MJD & Telescope & Instrument\\
\noalign{\smallskip}\hline
\noalign{\smallskip}2007 March 03.13 & 54162.13 & Calar Alto 2.2m telescope & CAFOS\\
2007 March 11.05 & 54170.05 & Calar Alto 2.2m telescope & CAFOS\\
2007 March 18.93 & 54177.93 & Calar Alto 2.2m telescope & CAFOS\\
2007 March 31.01 & 54190.01 & Calar Alto 2.2m telescope & CAFOS\\
2007 April 03.97 & 54193.97 & Calar Alto 2.2m telescope & CAFOS\\
2007 April 23.94 & 54213.94 & Calar Alto 2.2m telescope & CAFOS\\
2007 May 06.96 & 54226.96 & Calar Alto 2.2m telescope & CAFOS\\
2007 May 14.89 & 54234.89 & Calar Alto 2.2m telescope & CAFOS\\
2007 May 17.89 & 54237.89 & Calar Alto 2.2m telescope & CAFOS\\
2007 May 19.87 & 54239.87 & Calar Alto 2.2m telescope & CAFOS\\
2007 June 12.90 & 54263.90 & Calar Alto 2.2m telescope & CAFOS\\
2007 June 13.90 & 54264.90 & Calar Alto 2.2m telescope & CAFOS\\
\noalign{\smallskip}\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Log of the spectroscopy of SN~2007aa. | May I have a caption for this LaTeX table? |
|
2308.11527v1_train__862d80e7-bbf4-41cd-a73a-a6c10c331c8a | 2308.11527v1 | \begin{tabular}{|c|c|c|c|}\hline
& Impressions & Clicks & CTR \\
\hline
Training Data & 216,038,149 & 7,550,609 & 0.0349 \\
\hline
Validation Data & 19,544,730 & 667,024 & 0.0341 \\
\hline
\end{tabular} | Convert this table into LaTeX code. | Statistics for KDD CUP 2012 data set | May I have a caption for this LaTeX table? |
|
2210.09184v3_train__61aa7d4a-ea15-42d9-b4ed-d473f0c268f2 | 2210.09184v3 | \begin{tabular}{clccccc}\toprule\textbf{OOD eval} & \textbf{Criterion} & $\alpha=2$, $\gamma=1$ $M=4$ & $\alpha=3$, $\gamma=1$ $M=8$ & $\alpha=4$, $\gamma=2$ $M=8$ & $\alpha=6$, $\gamma=4$ $M=8$ & $\alpha=8$, $\gamma=1$ $M=16$\\
\midrule\multirow{5}{*}{AUPR ($\uparrow$)} & \textbf{MSP} & 0.8952 $\pm$ 0.0132 & 0.9055 $\pm$ 0.0034 & 0.9153 $\pm$ 0.0012 & 0.9149 $\pm$ 0.0071 & 0.9141 $\pm$ 0.0057 \\
& \textbf{ML} & \textbf{0.9183 $\pm$ 0.0098} & \textbf{0.9175 $\pm$ 0.0044} & \textbf{0.9285 $\pm$ 0.0012} & \textbf{0.9265 $\pm$ 0.0070} & \textbf{0.9268 $\pm$ 0.0068} \\
& \textbf{Ent. } & \textbf{0.9105 $\pm$ 0.0138} & \textbf{0.9152 $\pm$ 0.0035} & \textbf{0.9260 $\pm$ 0.0016} & \textbf{0.9237 $\pm$ 0.0066} & \textbf{0.9252 $\pm$ 0.0060} \\
& \textbf{MI } & \textbf{0.8649 $\pm$ 0.0061} & \textbf{0.9139 $\pm$ 0.0077} & \textbf{0.9157 $\pm$ 0.0072} & \textbf{0.9196 $\pm$ 0.0109} & \textbf{0.9245 $\pm$ 0.0091} \\
& \textbf{v} & 0.8404 $\pm$ 0.0071 & 0.8746 $\pm$ 0.0056 & 0.8827 $\pm$ 0.0033 & 0.8842 $\pm$ 0.0102 & 0.8931 $\pm$ 0.0072 \\
\midrule\multirow{5}{*}{AUC ($\uparrow$)} & \textbf{MSP} & 0.8056 $\pm$ 0.0260 & 0.8204 $\pm$ 0.0101 & 0.8408 $\pm$ 0.0033 & 0.8432 $\pm$ 0.0134 & 0.8387 $\pm$ 0.0094 \\
& \textbf{ML} & \textbf{0.8562 $\pm$ 0.0194} & \textbf{0.8421 $\pm$ 0.0115} & \textbf{0.8665 $\pm$ 0.0027} & \textbf{0.8621 $\pm$ 0.0144} & \textbf{0.8607 $\pm$ 0.0114} \\
& \textbf{Ent. } & \textbf{0.8361 $\pm$ 0.0271} & \textbf{0.8427 $\pm$ 0.0095} & \textbf{0.8662 $\pm$ 0.0027} & \textbf{0.8617 $\pm$ 0.0136} & \textbf{0.8614 $\pm$ 0.0096} \\
& \textbf{MI } & \textbf{0.7711 $\pm$ 0.0064} & \textbf{0.8312 $\pm$ 0.0135} & \textbf{0.8402 $\pm$ 0.0116} & \textbf{0.8468 $\pm$ 0.0163} & \textbf{0.8513 $\pm$ 0.0120} \\
& \textbf{v} & 0.7305 $\pm$ 0.0153 & 0.7799 $\pm$ 0.0129 & 0.7943 $\pm$ 0.0082 & 0.7999 $\pm$ 0.0166 & 0.8092 $\pm$ 0.0113\\
\bottomrule\end{tabular} | Generate the LaTeX code to recreate this table. | Comparison of the effect of the different uncertainty criteria for OOD on CIFAR-100 with different sets of parameters for Packed-Ensembles. | Please give a caption for the LaTeX table. |
|
2210.09184v3_train__51ea3bc5-48ed-4c51-a691-2a63b241958a | 2210.09184v3 | \begin{tabular}{cccccccccc}\hline
Network & Acc & NLL & ECE & AUPR & AUC & FPR95 & Params (M) \\
\hline
PE ResNet-50 & \textbf{96.0} & \textbf{0.1367} & \textbf{0.0087} & \textbf{97.1} & \textbf{94.9} & \textbf{14.5} & 23.6 \\
ResNeXt-50 & 90.4 & 0.4604 & 0.0709 & 90.4 & 82.5 & 63.4 & \textbf{23.0} \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | \textbf{Comparison between the results obtained with Packed-Ensembles and a similar ResNeXt-50 | Please write a caption that describes this LaTeX table. |
|
2210.09184v3_train__0c0464f0-93a5-4677-9ad8-458d1cf5e557 | 2210.09184v3 | \begin{tabular}{l|cc|cc}\hline
\multirow{2}{*}{Datasets} & \multicolumn{2}{c|}{RMSE} & \multicolumn{2}{c}{NLL} \\
&\multicolumn{1}{c}{Packed-Ensembles} &\multicolumn{1}{c|}{Deep Ensembles} &\multicolumn{1}{c}{Packed-Ensembles} &\multicolumn{1}{c}{Deep Ensembles} \\
\hline
Boston housing &\textbf{2.218 $\pm$ 0.099} & \textbf{2.219 $\pm$ 0.098} & \textbf{2.028 $\pm$ 0.034} & 2.047 $\pm$ 0.028 \\
Concrete &\textbf{5.092 $\pm$ 0.225 } & 5.167 $\pm$ 0.234 & \textbf{2.854 $\pm$ 0.028} & 2.885 $\pm$ 0.032 \\
Energy & \textbf{1.675 $\pm$ 0.085 }& 1.712 $\pm$ 0.067 &\textbf{ 1.543 $\pm$ 0.072} & \textbf{1.553 $\pm$ 0.060 }\\
Kin8nm & \textbf{0.058 $\pm$ 0.003} & \textbf{0.058 $\pm$ 0.003} & -1.442 $\pm$ 0.010 & \textbf{-1.452 $\pm$ 0.010 } \\
Naval Propulsion Plant &\textbf{0.002 $\pm$ 0.000} &\textbf{ 0.002 $\pm$ 0.000} & \textbf{-4.835 $\pm$ 0.066} & -4.833 $\pm$ 0.097 \\
Power Plant & 3.127 $\pm$ 0.018 & \textbf{3.097} $\pm$ \textbf{0.020} & 2.607 $\pm$ 0.007 & \textbf{2.600 $\pm$ 0.007 } \\
Protein & 3.476 $\pm$ 0.030 & \textbf{3.412 $\pm$ 0.017} & 2.472 $\pm$ 0.033 & \textbf{2.442 $\pm$ 0.015 } \\
Wine &\textbf{ 0.482 $\pm$ 0.006} & \textbf{0.483 $\pm$ 0.006} & 0.622 $\pm$ 0.014 & \textbf{0.611 $\pm$ 0.013 } \\
Yacht & \textbf{1.949} $\pm$ \textbf{0.215} & 2.511 $\pm$ 0.283 & 2\textbf{.023 $\pm$ 0.075 } & \textbf{2.023 $\pm$ 0.074} \\
\hline
\end{tabular} | Create LaTeX code to produce this table. | \textbf{Comparison of the results obtained with Packed-Ensembles and Deep Ensembles on regression tasks. | Could you provide a caption for this LaTeX table? |
|
2302.10810v1_train__e077080b-c87e-41b3-a52b-ed8879061207 | 2302.10810v1 | \begin{tabular}{lcccccccc}\hline
%& \multicolumn{2}{c}{ Success Rate}\\
Algorithm & Floor hit rate & Mean positioning error (m)\\
\hline
TNN &90.64\% & 12.35\\
TSNN &94.48\% &9.81\\
SCNN &95.52\% & 9.68\\
\hline
\end{tabular} | Write the LaTeX code for this table. | Localization results on UJIIndoorLoc validation dataset (1111 observations) using neural network algorithms | Can you suggest a caption for this LaTeX table? |
|
2302.10810v1_train__f271b9ec-bbd4-4d5d-8352-a8b3586e3d21 | 2302.10810v1 | \begin{tabular}{lcccccccc}\hline
%& \multicolumn{2}{c}{ Success Rate}\\
Building ID &0 & 1 & 2 & Overall \\
(\# of obs.) & (536) & (307) & (268) & (1111)\\
\hline
% \# of obs. &536 &307& 268& 1111\\
\hline
%Algorithm: \\
\ \ \ \ TNN & 12.65 & 12.52 & 12.04 &12.35\\
\ \ \ \ TSNN &8.18 & 11.97 & 10.61 &9.81\\
\ \ \ \ SCNN &7.94 & 12.07 & 10.44 & 9.68\\
\hline
\end{tabular} | Provide LaTeX code for this table. | Building-wise mean positioning error (m) | Could you provide a caption for this LaTeX table? |
|
2102.08896v1_train__e6f4c3a5-d843-491b-84d9-a71fbb1add19 | 2102.08896v1 | \begin{tabular}{|p{0.25in}|p{1.5in}|p{2.75in}|}\hline
Sr. & Application Domains & Security Requirements \\
\hline
1 & Urban Surveillance and Public Safety & Privacy and Autonomy \cite{elmaghraby2014cyber}, Panoptic Systems \cite{van2011policing,xu2019blendmas}\\
\hline
2 & Smart Power Grid & Denial of Service Attacks \cite{bou2013communication}, Integrity Attacks \cite{metke2010security}, Malware attacks, Power thefts, Billing Manipulations \cite{aloul2012smart} \\
\hline
3 & Geospatial Data Analysis (UAV) & Secured Communication \cite{javaid2012cyber,he2016communication}, Man in the Middle attack, Privacy \cite{rodday2016exploring} \\
\hline
4 & Intelligent Transportation Systems (ITS) and Connected Vehicles & Authentication, Availability, Non-Repudiation, Integrity \cite{siegel2017survey},Denial of Service, Sybil, Black-hole attack \cite{sakiz2017survey}\\
\hline
5 & Smart Healthcare & Data Confidentiality, Data Authentication, Data Integrity, Availability for wireless body network \cite{saleem2009security} \\
\hline
6 & Industry 4.0 & Enterprise Cyber-Espionage,denial of service attacks, and phishing attacks \cite{pereira2017network} \\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | Security Requirements for Fog Computing Use-cases | Please give a caption for the LaTeX table. |
|
2208.00362v1_train__f6921760-fdc2-40be-82ab-df995ed6d760 | 2208.00362v1 | \begin{tabular}{|l|l|l|l|l|l|l|l|}\hline
\hfil Name &\hfil Mag Range &\hfil Obs Num &\hfil Exp Time (s) &\hfil Distance (pc) &\hfil $E$($B$-$V$)&\hfil $m_{V1}$ &\hfil $M_{V1}$\\
A0821 & \hfil 11.85 - 12.15 (V) &\hfil 257 & \hfil 30 &\hfil $342.9\pm12.1$&\hfil0.063&12.12&$4.64\pm0.08$ \\
& \hfil 11.56 - 11.85 (R) &\hfil250 &\hfil 25 &\hfil &\hfil&& \\
& \hfil 12.26 - 12.58 (B) &\hfil 255 &\hfil 50 &\hfil &\hfil&& \\
\hline
T7281 & \hfil 12.08 - 12.40 (V) &\hfil 160 &\hfil 20 &\hfil $426.4\pm11.0$&\hfil0.059&12.37&$4.40\pm0.06$ \\
& \hfil 11.78 - 12.08 (R) &\hfil 239&\hfil 20 &\hfil &\hfil&& \\
\hline
T7275 & \hfil 11.47 - 11.71 (V) &\hfil 154 & \hfil 25 &\hfil $326.7\pm60$&\hfil0.059&11.67&$4.28\pm0.44$ \\
\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Basic Catalogue and Light Curve Parameters for the Three Systems. $m_{V1 | Please write a caption that describes this LaTeX table. |
|
2208.10907v1_train__3422293b-fd71-4e7a-957d-ce95355449e8 | 2208.10907v1 | \begin{tabular}{c|c|c|c}Low-rank structure & Basis & Admissibility & Complexity\\
\hline
BLR~\cite{amestoyImprovingMultifrontalMethods2015} & Independent & Strong or weak & $O(N^2)$ \\
$\mathrm{BLR}^2$~\cite{ashcraftBlockLowRankMatrices2021} & Shared & Strong or weak & $O(N^{1.8})$ \\
HODLR~\cite{ambikasaranFastAlgorithmsDense2013} & Independent & Weak & $O(N\log^2 N)$ \\
$\mathcal{H}$-matrix~\cite{hackbuschSparseMatrixArithmetic1999} & Independent & Strong & $O(N\log^2 N)$ \\
HSS~\cite{chandrasekaranFastSolverHSS2006} & Shared & Weak & $O(N)$ \\
$\mathcal{H}^2$-matrix~\cite{hackbuschMatrices2000} & Shared & Strong & $O(N)$ \\
\end{tabular} | Create LaTeX code to produce this table. | List of Different Low-rank Structures | Please write a caption that describes this LaTeX table. |
|
2201.08335v2_train__8ddc1c80-aafd-4131-a716-9e20190b7e7f | 2201.08335v2 | \begin{tabular}{c || cccc}\hline
\hline
Filter & Accessible Sky-Coverage & $N_\text{lightcurves}$ & $N_\text{lightcurves}$ with $N_{obs} \ge 20$ \\
\hline
g-band & 97.66\% & 1,226,245,416 & 582,677,216 \\
r-band & 98.31\% & 1,987,065,715 & 1,107,250,253 \\
i-band & 51.88\% & 346,398,848 & 78,425,164 \\
\end{tabular} | Please create LaTeX code to produce this table. | Object Statistics for Public Data Release 5. Additional details can be found at \href{https://www.ztf.caltech.edu/page/dr5 | May I have a caption for this LaTeX table? |
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2201.08335v2_train__ce204483-d1e3-4e1e-b70b-32d4903f86dc | 2201.08335v2 | \begin{tabular}{c|cccc}& $t_0$ (hmjd) & $t_\text{eff}$ (days) & $f_0$ (flux) & $f_1$ (flux)\\
\hline
Low Bound & min($t$) - 50 & 0.01 & $-\infty$ & 0 \\
High Bound & max($t$) + 50 & 5000 & $\infty$ & $\infty$ \\
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Boundaries for four-parameter microlensing model. | Please write a caption that describes this LaTeX table. |
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2201.08335v2_train__9b09ba0d-9115-4ff1-8207-90279d2590d5 | 2201.08335v2 | \begin{tabular}{ccc}\hline
\hline
Column Name & Datatype & Unit \\
\hline
id & string & - \\
ra & float & degrees \\
dec & float & degrees \\
t0 & float & hmjd \\
t0\_err & float & hmjd \\
tE & float & days \\
tE\_err & float & days \\
u0\_amp & float & - \\
u0\_amp\_err & float & - \\
piE\_E & float & - \\
piE\_E\_err & float & - \\
piE\_N & float & - \\
piE\_N\_err & float & - \\
mag\_base\_r & float & magnitude \\
mag\_base\_err\_r & float & magnitude \\
mag\_base\_g & float & magnitude \\
mag\_base\_err\_g & float & magnitude \\
mag\_base\_i & float & magnitude \\
mag\_base\_err\_i & float & magnitude \\
b\_sff\_r & float & - \\
b\_sff\_err\_r & float & - \\
b\_sff\_g & float & - \\
b\_sff\_err\_g & float & - \\
b\_sff\_i & float & - \\
b\_sff\_err\_i & float & - \\
\end{tabular} | Create LaTeX code to produce this table. | Exported Candidate Schema. Exported data have been posted online for public use \citep{puzle_microlensing_catalogs | Can you give me a caption for this LaTeX table? |
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2204.02010v1_train__6fe01863-ada1-4028-b214-94bdc99935cb | 2204.02010v1 | \begin{tabular}{|c|c|c|}\hline
Method & K & Test error (↓)\\
\hline
InfoGAN & 10 & 5 ± 0.01 \\
AAE & 32 & 4.10 ± 1.13 \\
\textbf{ours} & 10 & \textbf{2.38 ± 0.38} \\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | MNIST Unsupervised Classification test error. | Could you generate a caption for this LaTeX table? |
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2204.02010v1_train__0505f466-f604-4670-9677-9b07680ce364 | 2204.02010v1 | \begin{tabular}{|c|c|c|c|}\hline
Encoder $Enc$ & Decoder $Dec$ & Discriminator $D$ / $Q$ & Generator $G$\\
\hline
Input(1X32x32) & Input $\in R^{64}$ & Input $\in R^{64}$ & Input $\in R^{76}$ \\
\hline
c4-o16-s2-r & r-u4-c3-o128-p1-bn128-r & fc-o1000-r & fc-o1000-r \\
\hline
c4-o32-s2-r & u2-c3-o64-p1-bn64-r & fc-o1000-r & fc-o1000-r \\
\hline
c4-o64-s2-r & u2-c3-o32-p1-bn32-r & fc-o512-r & fc-o1000-r \\
\hline
c4-o128-s2-r & u2-c3-o3-p1-tanh & fc-o1-sig,fc-o2,fc-o10 & fc-o64 \\
\hline
c4-o128-s2-r & - & - & - \\
\hline
fc-o64 & - & - & - \\
\hline
\end{tabular} | Could you please provide me the LaTeX code to generate this table? | MNIST Network Architecture | Could you generate a caption for this LaTeX table? |
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2204.02010v1_train__1ee44b14-eeda-4757-90c7-0d605dbf5820 | 2204.02010v1 | \begin{tabular}{|c|c|c|c|}\hline
Encoder $Enc$ & Decoder $Dec$ & Discriminator $D$ / $Q$ & Generator $G$\\
\hline
Input(1X64x64) & Input $\in R^{128}$ & Input $\in R^{128}$ & Input $\in R^{190}$ \\
\hline
c4-o64-s2-r & r-u4-c3-o512-p1-bn128-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o128-s2-r & u2-c3-o256-p1-bn64-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o256-s2-r & u2-c3-o128-p1-bn32-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o512-s2-r & u2-c3-o64-p1-bn32-r & fc-o512-r & fc-o3000-r \\
\hline
c4-o1024-s2-r & u2-c3-o1-p1-tanh& fc-o1-sig,(fc-o2),3x(fc-o20) & fc-o128\\
\hline
c4-o128-s2-r & - & - & \\
\hline
fc-o128 & - & - & - \\
\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | 3D Chair Network Architecture | Please create a caption for this LaTeX table. |
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2204.02010v1_train__c24be00c-8196-4415-89e2-d7587c068e9d | 2204.02010v1 | \begin{tabular}{|c|c|c|c|}\hline
Encoder $Enc$ & Decoder $Dec$ & Discriminator $D$ / $Q$ & Generator $G$\\
\hline
Input(3X32x32) & Input $\in R^{128}$ & Input $\in R^{128}$ & Input $\in R^{228}$ \\
\hline
c4-o64-s2-r & r-u4-c3-o512-p1-bn128-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o128-s2-r & u2-c3-o256-p1-bn64-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o256-s2-r & u2-c3-o128-p1-bn32-r & fc-o3000-r & fc-o3000-r \\
\hline
c4-o512-s2-r & u2-c3-o3-p1-tanh & fc-o512-r & fc-o3000-r \\
\hline
c4-o128-s2-r & - & fc-o1-sig,10x(fc-o10) & fc-o128\\
\hline
fc-o128 & - & - & - \\
\hline
\end{tabular} | Provide LaTeX code for this table. | CelebA Network Architecture | Please provide an appropriate caption for this LaTeX table. |
|
2209.12210v1_train__03e0d97d-4cb0-4d75-bdbd-b5e1cbb3b772 | 2209.12210v1 | \begin{tabular}{|c|c|c|c|c|}\hline
\textbf{Study} & \textbf{Data Type} & \textbf{Noise Type} & \textbf{\% Active Pixels} & \textbf{Neighborhood Radius} \\
\hline
Krull et al., 2019 & Natural Images & i.i.d. & 0.2 - 2 & 5 \\
\hline
Birnie et al., 2021 & Seismic & WGN & 0.2 & 5 \\
\hline
Birnie et al., 2021 & Seismic & Bandpassed & 25 & 15 \\
\hline
Birnie et al., 2021 & Seismic & Field Data & 33 & 15 \\
\hline
This study & Seismic & Field Data & 33 & 15 \\
\hline
\end{tabular} | Write the LaTeX code for this table. | Blind-spot network parameters for different data and noise types. | Please create a caption for this LaTeX table. |
|
2209.12210v1_train__76a839e5-fee9-4cf5-9ffc-3890e954cbaf | 2209.12210v1 | \begin{tabular}{|c|c|c|c|}\hline
\textbf{NN Architecture} & \textbf{\# Layers} & \textbf{\# Initial Filters} & \textbf{Kernel Size} \\
\hline
UNet & 2 & 32 & 3x3 \\
\hline
\textbf{Loss Function} & \textbf{Batch Size} & \textbf{Optimiser} & \textbf{Initial LR} \\
\hline
MAE & 32 & Adam & 1e-4 \\
\hline
\end{tabular} | Generate the LaTeX code to recreate this table. | The neural network architecture and training parameters. | Could you generate a caption for this LaTeX table? |
|
2207.03919v2_train__c02d5753-0338-41c9-b902-2cd23a8c1603 | 2207.03919v2 | \begin{tabular}{c|cc|c}\hline
\hline
& \multicolumn{2}{c|}{Si} & NaCl \\
& indirect & \ \ \ direct at $\Gamma$ & direct at $\Gamma$\\
\hline
QMC derived& 0.69 & 2.72&5.25\\
PBE & 0.66 & 2.60 &5.08\\
% Connector & 0.86 \\
LDA & 0.49 &2.55 &4.59\\
TBmBJ & 1.19& 3.09 & 8.93\\
\hline
Exp. & 1.17 \cite{silicon-gap} & 3.05\cite{Ortega1993} & 8.5\cite{nacl-gap} \\
& & 3.40\cite{silicon-gap} & \\
\hline
\hline
\end{tabular} | Please create LaTeX code to produce this table. | KS minimum band gaps and direct band gaps at $\Gamma$ (eV) in comparison with experimental photoemission gaps from Refs. \cite{silicon-gap,Ortega1993,nacl-gap | Please give a caption for the LaTeX table. |
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2203.08391v2_train__b6fd43eb-1a5b-4338-8c6d-696faf8b160f | 2203.08391v2 | \begin{tabular}{c|c|c|c}\hline
$n$ & $M_{2n}^\pi$ & $E_{2n}^\pi$ & Singular Value Distribution\\
\hline
1 & 0.25 & 0.5 & $1\times 0.5$\\
2 & 0.01928711 & 0.94882494 & $3\times0.282788+1\times 0.10045973$\\
3 & 0.00175476 & 0.97296386 & $1\times 0.3353396 +2\times 0.2309162 +1\times0.1757919$\\
4 & 0.00016548 & 1.08649082 & $2\times 0.30870218+2\times0.15042053+1\times0.08412272+1\times0.08412269$\\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Moments and the optimized permutation norm. | Please give a caption for the LaTeX table. |
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2201.09680v1_train__303d0ea0-85ed-4c84-98f7-2639fe1f74de | 2201.09680v1 | \begin{tabular}{c|l|c|c|c}\toprule& \textbf{Model} & \textbf{\# Params} & \textbf{Dev} & \textbf{Test} \\
\midrule% & TXL small$^a$ & 151M & - & 24.0 \\
%& TXL large$^a$ & 257M & - & \textbf{18.3}\\
\multirow{4}{*}[-0.0ex]{\rotatebox[origin=c]{90}{WikiText}} & Transformer-XL & 122M & 19.0 & 19.9\\
& \textsc{RelationLM} & 124M & 18.5 & 19.2\\
& \textsc{Spalm} & 122M & 18.1 & 19.0 \\
& $\;\hookrightarrow$ + \textsc{RelationLM} & 124M & \textbf{17.7} & \textbf{18.6} \\
\midrule\multirow{4}{*}[0.1ex]{\rotatebox[origin=c]{90}{WMT19}} & Transformer-XL & 114M & 21.7 & 21.5\\
& \textsc{RelationLM} & 116M & 21.0 & 20.7 \\
& \textsc{Spalm} & 114M & 20.4 & 20.3\\
& $\;\hookrightarrow$ + \textsc{RelationLM} & 116M & \textbf{19.8} & \textbf{19.6} \\
\midrule%& transformer-XL$^a$ & 88M & - & 1.03 \\
\multirow{4}{*}[-0.1ex]{\rotatebox[origin=c]{90}{enwik8}} & Transformer-XL & 93M & 1.05 & 1.03\\
& \textsc{RelationLM} & 95M & 1.04 & 1.02 \\
& \textsc{Spalm} & 93M & 1.04 & 1.02\\
& $\;\hookrightarrow$ + \textsc{RelationLM} & 95M & \textbf{1.03} & \textbf{1.01} \\
\bottomrule\end{tabular} | I need the LaTeX code to create this table, please. | We use perplexity ($\downarrow$) on WikiText-103 and WMT19 and bits per character ($\downarrow$) on enwik8 for evaluation. \label{tab:dataset_result | Can you give me a caption for this LaTeX table? |
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2312.03055v1_train__aa21b793-c609-4725-8a2f-00b64862c1f6 | 2312.03055v1 | \begin{tabular}{ll|cccc}\hline
& & \multicolumn{4}{c}{epoch}\\
component & parameter & 2017 & 2020 & 2021 & 2022\\
\hline
\texttt{TBabs}$_1$ &$N_\textup{H}\,(10^{22}\,{\rm atoms/cm}^2)$ & \multicolumn{4}{c}{$0.95_{-0.12}^{+0.14}$ (t)} \\
\hline
\multirow{2}{*}{\texttt{vapec}$_1$} & $kT\,({\rm keV})$ & $0.057\pm0.004$ (t) & $0.062\pm0.004$ & $0.057\pm0.004$ (t) & $0.057\pm0.004$ (t)\\
& Norm & \multicolumn{4}{c}{$5.4_{-3.0}^{+10.7}$}\\
\hline
\multirow{2}{*}{\texttt{vapec}$_2$} & $kT\,({\rm keV})$ & $0.30\pm0.01$ (t) & $0.65\pm0.06$ & $0.30\pm0.01$ (t) & $0.30\pm0.01$ (t)\\
& Norm & \multicolumn{4}{c}{$(2.7\pm0.5)\times10^{-4}$ (t)} \\
\hline
& $F_\textup{0.5-2 keV}$ (erg/cm$^2$/s) & $(6.6\pm0.3)\times10^{-14}$ (t) & $(1.67\pm0.04)\times10^{-13}$ & $(6.6\pm0.3)\times10^{-14}$ (t) & $(6.5\pm0.4)\times10^{-14}$\\
\hline
\multirow{2}{*}{\texttt{powerlaw}} & $\Gamma$ & \multicolumn{4}{c}{$-1.3\pm0.2$ (t)} \\
& Norm & \multicolumn{3}{c}{$(8.6\pm0.2)\times10^{-7}$ (t)} & $(4.1\pm0.1)\times10^{-7}$\\
\hline
& $F_\textup{2-5 keV}$ (erg/cm$^2$/s) & $(1.55\pm0.03)\times10^{-13}$ & $(1.67\pm0.03)\times10^{-13}$ & $(1.43\pm0.04)\times10^{-13}$ & $(6.1\pm0.3)\times10^{-14}$\\
\hline
\texttt{TBabs}$_2$ & $N_\textup{H}\,(10^{22}\,{\rm atoms/cm}^2)$ & \multicolumn{2}{c}{$110\pm5$ (t)} & $116\pm5$ & $134\pm12$\\
\hline
\multirow{2}{*}{\texttt{vapec}$_3$} & $kT\,({\rm keV})$ & \multicolumn{4}{c}{$6.2\pm0.3$ (t)}\\
& Norm & \multicolumn{3}{c}{$(1.5\pm0.1)\times10^{-2}$ (t)} & $(0.91\pm0.01)\times10^{-2}$ \\
\hline
& $F_\textup{5-8 keV}$ (erg/cm$^2$/s) & $(2.05\pm0.02)\times10^{-12}$ & $(2.05\pm0.02)\times10^{-12}$ & $(1.94\pm0.02)\times10^{-12}$ & $(1.01\pm0.03)\times10^{-12}$\\
\hline
\multirow{3}{*}{\texttt{Gauss}} & $E\,({\rm keV})$ & \multicolumn{4}{c}{6.4 (f)}\\
& $\sigma\,({\rm keV})$ & \multicolumn{4}{c}{$0.10\pm0.01$ (t)} \\
& Norm & \multicolumn{3}{c}{$(1.4\pm0.1)\times10^{-4}$ (t)} & $(1.1\pm0.1)\times10^{-4}$ \\
\hline
& $F_\textup{Gauss}$ (erg/cm$^2$/s) & $(3.7\pm0.2)\times10^{-13}$ & $(3.7\pm0.2)\times10^{-13}$ & $(3.5\pm0.2)\times10^{-12}$ & $(2.2\pm0.2)\times10^{-13}$ \\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Spectral parameters of the best-fitting model of the central region. Values are reported with $1\sigma$ uncertainties. Parameters indicated by (f) and (t) are, respectively, fixed and tied together during the fitting procedure. | Please create a caption for this LaTeX table. |
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2312.03055v1_train__d0998d88-9c3e-4905-9c48-a232df73c6c2 | 2312.03055v1 | \begin{tabular}{cccc}\hline
\multirow{2}{*}{epoch} & $N_\textup{H}$ & $kT$ & $F_{0.5-2\,{\rm keV}}$\\
& ($10^{22}\,{\rm atoms/cm}^2$) & (keV) & ($10^{-14}\,{\rm erg/s/cm}^2$)\\
\hline
2017 & $0.28\pm0.07$ & $0.18\pm0.01$ & $3.9\pm0.1$\\
2020 & $0.55\pm0.12$ & $0.20\pm0.02$ & $1.8\pm0.2$\\
2021 & $0.44\pm0.16$ & $0.16\pm0.02$ & $1.4\pm0.3$\\
2022 & $0.88\pm0.32$ & $0.17\pm0.02$ & $0.3\pm0.2$\\
\end{tabular} | Create LaTeX code to produce this table. | Best-fit spectral parameters of the blob. Values are reported with $1\sigma$ uncertainties. \label{tab:blob_spec | Can you give me a caption for this LaTeX table? |
|
2012.00745v5_train__bf853ec0-acef-410b-a7cd-98bf596e09de | 2012.00745v5 | \begin{tabular}{c|cccccc}\hline
\hline
& true & bias & sd & RMSE & meanSE & coverage \\
\hline
$n$=2000 & \multicolumn{6}{c}{ } \\
DML MAR & 1.000 & -0.120 & 0.055 & 0.132 & 0.052 & 0.374 \\
DML IV & 1.000 & -0.020 & 0.071 & 0.074 & 0.065 & 0.907 \\
\hline
$n$=8000 & \multicolumn{6}{c}{ } \\
DML MAR & 1.000 & -0.116 & 0.028 & 0.119 & 0.027 & 0.009 \\
DML IV & 1.000 & 0.006 & 0.040 & 0.040 & 0.036 & 0.915 \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Simulation results under nonignorable selection | Can you suggest a caption for this LaTeX table? |
|
2012.00745v5_train__2ce4857b-5e9d-43bf-8efe-102508572835 | 2012.00745v5 | \begin{tabular}{c|cccccc}\hline
\hline
& true & bias & sd & RMSE & meanSE & coverage \\
\hline
$n$=2000 & \multicolumn{6}{c}{} \\
DML MAR & 1.000 & 0.003 & 0.060 & 0.060 & 0.063 & 0.939 \\
DML IV & 1.000 & 0.003 & 0.060 & 0.060 & 0.063 & 0.939 \\
\hline
$n$=8000 & \multicolumn{6}{c}{ } \\
DML MAR & 1.000 & 0.012 & 0.031 & 0.033 & 0.034 & 0.934 \\
DML IV & 1.000 & 0.012 & 0.031 & 0.033 & 0.034 & 0.939 \\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | Simulation results under MAR | Could you provide a caption for this LaTeX table? |
|
2012.00745v5_train__3cd0e013-4299-426a-a495-6cf01e04935a | 2012.00745v5 | \begin{tabular}{cc}\hline
\hline
treatment & observations \\
\hline
randomized out of JC & 1698 \\
controls (no training) & 200 \\
academic training & 830 \\
vocational training & 843 \\
\hline
\end{tabular} | Generate the LaTeX code to recreate this table. | Treatment distribution | Please provide an appropriate caption for this LaTeX table. |
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2207.03126v1_train__fa00dc0c-59d0-45b6-b16d-17824df8ff9b | 2207.03126v1 | \begin{tabular}{|c|c|c|c|c|c|c|c|}\hline
\centering$T_{eff}^0$~~&$P_{eff}^0$~~& $x_{1}$~~&$x_{2}$~~&$\phi_{+1}$~~&$\phi_{+2}$~~&$R_1$~~&$R_2$ \\
\hline
~~$0.99T_{eff}^c$ ~~&0.0005663~~&0.6399~~&0.6707~~&0.3343~~&0.4235~~&0.759027~~&0.808721\\
\hline
$0.992T_{eff}^c$~~&0.0005697~~&0.6416~~&0.6693~~&0.3386~~&0.4186~~&0.84761~&0.903014\\
\hline
$0.994T_{eff}^c$~~&0.0005732~~& 0.6439~~& 0.6677~~& 0.3442~~& 0.4133~~& 0.994135~~& 1.01518\\
\hline
$0.995T_{eff}^c$~~&0.0005749~~& 0.6448~~&0.6668~~& 0.3466~~& 0.4102~~& 1.05345~~& 1.09469\\
\hline
$0.996T_{eff}^c$~~&0.000576653~~& 0.6462~~&0.6657~~&0.3502~~&0.4064~~& 1.16212~~& 1.20905\\
\hline
$0.997T_{eff}^c$~~&0.000578405~~& 0.6467~~&0.6646~~& 0.3538~~& 0.4029~~& 1.29083~~& 1.3191\\
\hline
$0.998T_{eff}^c$~~&0.0005801595~~& 0.6493~~& 0.6631~~& 0.3584~~& 0.3982~~& 1.46474~~& 1.49429\\
\hline
$0.999T_{eff}^c$~~&0.0005819201~~& 0.6514~~& 0.6612~~& 0.3639~~& 0.3922~~& 1.80019~~& 1.82641\\
\hline
$0.9993T_{eff}^c$~~&0.0005824486~~& 0.6522~~& 0.6604~~& 0.3662~~& 0.3899~~& 1.92668~~& 1.94651\\
\hline
$0.9995T_{eff}^c$~~&0.000582804~~& 0.6529~~& 0.6598~~& 0.3681~~& 0.3881~~& 2.10521~~& 2.08337\\
\hline
$T_{eff}^c$~~&$P_{eff}^c=0.000583686$~~&$x^c=0.65646$~~&$x^c=0.65646$~~&$\phi_+^c=0.378244$~~&$\phi_+^c=0.378244$~~&$R^c=3.12592$ ~~&$R^c=3.12592$ \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | the thermodynamic quantities of two coexistent phases for $T_{eff | Please create a caption for this LaTeX table. |
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2309.03888v2_train__5ab311df-6da1-460f-8f69-516f3198333c | 2309.03888v2 | \begin{tabular}{c|cccc|cccc}\hline
\hline
& \multicolumn{4}{c|}{S CrA} & \multicolumn{4}{c}{$\lambda$ Aql} \\
\cline{1-9}Filter & Time & Seeing & Airmass & I.Q. & Time & Seeing & Airmass & I.Q. \\
& [UT] & [$^{\prime\prime}$] & & [$^{\prime\prime}$] & [UT] & [$^{\prime\prime}$] & & [$^{\prime\prime}$] \\
\cline{0-8}L3244 & 2021-09-18T02:51:58.8391 & 0.7 & 1.295 & 1.0 & 2021-09-18T03:51:09.7134 & 1.11 & 1.926 & 0.84\\
L3262 & 2021-09-18T03:00:15.5436 & 0.94 & 1.327 & 1.22 & 2021-09-18T03:56:48.2035 & 0.98 & 1.999 & 0.85\\
L3302 & 2021-09-18T03:07:22.7153 & 1.05 & 1.357 & 1.03 & 2021-09-18T04:21:26.7844 & 1.31 & 2.413 & 0.93\\
L3340, P.A. 1 & 2021-09-18T02:37:17.0365 & 0.68 & 1.245 & 0.91 & 2021-09-18T03:45:20.0723 & 1.22 & 1.857 & 1.02\\
L3340, P.A. 2 & 2021-09-18T02:44:34.2579 & 0.63 & 1.269 & 0.93 & 2021-09-18T03:45:20.0723 & 1.22 & 1.857 & 1.02\\
L3377 & 2021-09-18T03:15:12.8397 & 0.7 & 1.392 & 0.94 & 2021-09-18T04:27:17.7477 & 1.02 & 2.542 & 0.72\\
L3412 & 2021-09-18T03:22:25.3378 & 0.91 & 1.428 & 1.08 & 2021-09-18T04:32:54.9032 & 1.05 & 2.682 & 0.73\\
L3426 & 2021-09-18T03:29:31.5921 & 0.86 & 1.465 & 0.96 & 2021-09-18T04:38:11.7044 & 1.06 & 2.828 & 0.83\\
M4187 & 2021-09-18T23:44:52.1024 & 0.43 & 1.024 & 0.77 & 2021-09-19T01:08:23.3365 & 0.29 & 1.115 & 0.63\\
M4211 & 2021-09-18T23:52:33.3342 & 0.43 & 1.023 & 0.77 & 2021-09-19T01:16:29.1057 & 0.33 & 1.128 & 0.65\\
M4266 & 2021-09-19T00:00:24.7822 & 0.31 & 1.024 & 0.75 & 2021-09-19T01:26:28.1670 & 0.39 & 1.147 & 0.67\\
M4318 & 2021-09-19T00:08:30.8910 & 0.29 & 1.025 & 0.73 & 2021-09-19T01:34:27.2257 & 0.25 & 1.163 & 0.67\\
M4368, P.A. 1 & 2021-09-18T23:16:27.7131 & 0.51 & 1.033 & 0.73 & 2021-09-19T01:00:22.7853 & 0.33 & 1.104 & 0.68\\
M4368, P.A. 2 & 2021-09-18T23:36:45.9149 & 0.36 & 1.025 & 0.76 & 2021-09-19T01:00:22.7853 & 0.33 & 1.104 & 0.68\\
M4416 & 2021-09-19T00:18:05.5455 & 0.32 & 1.028 & 0.77 & 2021-09-19T01:43:49.4897 & 0.34 & 1.186 & 0.61\\
M4461 & 2021-09-19T00:26:07.9014 & 0.49 & 1.032 & 0.73 & 2021-09-19T01:51:10.0201 & 0.33 & 1.205 & 0.66\\
M4504 & 2021-09-19T00:34:53.1912 & 0.33 & 1.037 & 0.73 & 2021-09-19T01:58:46.7159 & 0.28 & 1.227 & 0.59\\
M4519 & 2021-09-19T00:42:57.2216 & 0.28 & 1.043 & 0.74 & 2021-09-19T02:06:01.9413 & 0.29 & 1.25 & 0.6\\
\hline
\hline
\end{tabular} | Create LaTeX code to produce this table. | Observing time, seeing, airmass, and airmass corrected seeing (I.Q.) for our observations. | Could you provide a caption for this LaTeX table? |
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2204.08269v4_train__de269108-0fc1-4536-b614-4e615a903f55 | 2204.08269v4 | \begin{tabular}{c|c |c}\textbf{} & \textbf{channels} & \textbf{kernel size} \\
\hline
Conv & $195$ & $(7, 7)$ \\
Batch Norm, ReLU & $195$ & \\
Max Pool & & $(2, 2)$ \\
\hline
Conv & $390$ & $(5, 5)$ \\
Batch Norm & $390$ & \\
SqueezeExcite, ReLU & $390$ & \\
\hline
Conv & $780$ & $(3, 3)$ \\
Batch Norm & $780$ & \\
SqueezeExcite, ReLU & $780$ & \\
Global Average Pool & & \\
\hline
Linear, ReLU, Dropout $0.5$ & $64$ & \\
Linear, Softmax & $8$ & \\
\end{tabular} | Write the LaTeX code for this table. | Table outlining the 2-D convnet architecture that process the time--frequency scattering tensor. The channels column indicates the number of channels or hidden units output after a layer. | Could you generate a caption for this LaTeX table? |
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2204.08269v4_train__b0d65d06-eb59-4ed3-8d51-307da9181cc5 | 2204.08269v4 | \begin{tabular}{|c| c c c c c c c c |c|}\hline
& \textbf{tenor sax.} & \textbf{trumpet} & \textbf{flute} & \textbf{clarinet} & \textbf{female singer} & \textbf{dist. guitar} & \textbf{violin} & \textbf{piano} & \textbf{avg} \\
\hline
\multirow{2}{*}{\textbf{CQT}} & 5.7 & \textbf{80.9} & 40.2 & \textbf{85.3} & 84.4 & 87.8 & 64.2 & 98.5 & 68.4 \\
& $\pm$ 3.8 & $\pm$ 3.5 & $\pm$ 5.3 & $\pm$ 5.1 & $\pm$ 0.7 & $\pm$ 1.8 & $\pm$ 12.8 & $\pm$ 1.4 & $\pm$ 1.8 \\
\hline
\multirow{1}{*}{\textbf{Scattering1D}} & 54.8 & 70.9 & 43.9 & 60.1 & 93.7 & 96.1 & 74.1 & 98.7 & 74.0 \\
& $\pm$ 9.8 & $\pm$ 9.7 & $\pm$ 8.9 & $\pm$ 7.9 & $\pm$ 2.4 & $\pm$ 1.1 & $\pm$ 4.3 & $\pm$ 0.2 & $\pm$ 2.4 \\
\hline
\multirow{2}{*}{\textbf{JTFS}} & \textbf{71.5} & 77.8 & \textbf{57.0} & 59.5 & \textbf{96.3} & \textbf{96.4} & \textbf{93.0} & \textbf{99.8} & \textbf{81.4} \\
& $\pm$ 5.9 & $\pm$ 8.7 & $\pm$ 4.3 & $\pm$ 1.3 & $\pm$ 0.7 & $\pm$ 0.0 & $\pm$ 5.6 & $\pm$ 0.1 & $\pm$ 0.6 \\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Test set classwise and macro average accuracy for 2-D convnet architectures trained for musical instrument classification on Medley-solos-DB. Classes are in ascending order (left to right) of number of training set examples. We report the results of CQT, time scattering and time--frequency scattering frontends for a convnet classifier. See Section \ref{sec:convnet | Can you suggest a caption for this LaTeX table? |
|
2106.08042v1_train__f83777ed-04b3-408e-acf9-73970103c962 | 2106.08042v1 | \begin{tabular}{ |c|c|c|c|c|c|c|c|c|c| }\hline
Approach & $m_{pos}$ & $m_{neg}$ & $m_{triplet}$ & $\alpha_{triplet}$ & $m_{own}$ & $m_{other}$ & $\alpha_{own}$ & $\alpha_{other}$ & $delay$ \\
\hline
Batch-hard Triplet loss (baseline) & - & - & 0.289 & - & - & - & - & - & - \\
Contrastive loss & 0.330 & 0.691 & - & - & - & - & - & - & - \\
Contrastive-Triplet & 0.030 & 0.742 & 0 & 1 & - & - & - & - & - \\
\hline
\end{tabular} | Provide LaTeX code for this table. | Optimal hyperparameters of approaches for the CUB200 dataset (top) and the Hotels-50k dataset chain recognition task (bottom) found via Bayesian optimization. Dashes mark hyperparameters that are not used by an approach. | Could you provide a caption for this LaTeX table? |
|
2106.08042v1_train__9b04a8ec-86b8-4731-927b-0084924e02aa | 2106.08042v1 | \begin{tabular}{ |c|c|c|c|c| }\hline
Approach & MAP@R & MAP@R confidence & P(1) & P(1) confidence \\
\hline
Untrained backbone & 0.134 & - & 0.524 & - \\
Triplet loss (baseline) & 0.243 & [0.237, 0.249] & 0.647 & [0.639, 0.655] \\
Contrastive & \textbf{0.260} & [0.257, 0.264] & 0.668 & [0.664, 0.671] \\
Contrastive-Triplet & 0.258 & [0.254, 0.262] & 0.670 & [0.665, 0.675] \\
\hline
\end{tabular} | Create LaTeX code to produce this table. | Benchmark results on CUB200. | May I have a caption for this LaTeX table? |
|
2206.05196v2_train__9e9dc089-e6de-4c0b-a507-8b00969dd85a | 2206.05196v2 | \begin{tabular}{l|c|c|c|cc}\hline
\hline
$Y_{c\bar c}$ State& $s_0$~\mbox{[GeV$^2$]}&$M^2$~\mbox{[GeV$^2$]}& \mbox{PC (average)} & \mbox{OPE}\\
\hline
\hline
$J^1_\mu$& $ 25.0-27.0$ & $ 5.0-7.0 $&$46 \%$& $<2\%$\\
$J^2_\mu$& $ 25.0-27.0$ & $ 5.0-7.0 $&$45 \%$&$<3\%$\\
$J^3_\mu$ & $ 22.0-24.0$ & $ 4.5-6.5 $&$43 \%$&$<2\%$\\
$J^4_\mu$ & $ 25.0-27.0$ & $ 5.0-7.0 $&$44 \%$&$<3\%$\\
$J^5_\mu$ & $ 24.0-26.0$ & $ 5.0-7.0 $&$43 \%$&$<2\%$\\
$J^6_\mu$ & $ 24.0-26.0$ & $ 5.0-7.0 $&$43 \%$&$<3\%$\\
$J^7_\mu$ & $ 24.0-26.0$ & $ 5.0-7.0 $&$45 \%$&$<2\%$\\
$J^8_\mu$ & $ 24.0-26.0$ & $ 5.0-7.0 $&$44 \%$&$<2\%$\\
\hline
\hline
\end{tabular} | Create LaTeX code to produce this table. | Working regions of the Borel mass parameters, continuum threshold, PC and OPE convergence for magnetic moments. | Please write a caption that describes this LaTeX table. |
|
2107.12733v1_train__6cf97303-969e-4fb0-b062-25bc4985c07b | 2107.12733v1 | \begin{tabular}{c|cc|cc|cc|cc}\multicolumn{1}{c}{$\lambda$}&\multicolumn{2}{c}{$u_{\bot}(0)\: [10^{-2}nm] $}&\multicolumn{2}{c}{$u_{\bot}(L)\:[10^{-2}nm]$}&\multicolumn{2}{c}{$\varphi(L)\: [10^{-3}]$}&\multicolumn{2}{c}{$u^{tot}_{max}(0) \:[10^{-2}nm] $} \\
$ $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ \\
%$\lambda$ & $u_{\bot}(L) [10^{-2}nm] $ & $u_{t}(L) [10^{-2}nm]$ & $\varphi(L) [10^{-3}]$ & $u_{max}^{tot}(L) [10^{-2}nm] $ \\
%$ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $\\
\hline
\cline{1-9}0,1 & 3,665 & 3,809 & -3,527 & -3,652& -3,945& -4,073 & 3,665 & 3,809\\
\cline{1-9}0,2 & 3,321 & 3,613 & -3,196 & -3,463& -3,652 & -3,905& 3,321 & 3,613 \\
\cline{1-9}0,3 & 3,030 & 3,447 & -2,911 & -3,300& -3,383 & -3,751 & 3,030 & 3,447\\
\cline{1-9}0,4 & 2,798 & 3,314 & -2,683 & -3,170& -3,152 & -3,619& 2,798 & 3,314 \\
\cline{1-9}0,5 & 2,613 & 3,208 & -2,502 & -3,067 & -2,959 & -3,509& 2,613 & 3,208 \\
\cline{1-9}0,6 & 2,464 & 3,123 & -2,357 & -2,984 & -2,797 & -3,417 & 2,464 & 3,123\\
\cline{1-9}0,7 & 2,342 & 3,054 & -2,239 & -2,916 & -2,662 & -3,339& 2,342 & 3,054 \\
\cline{1-9}0,8 & 2,241 & 2,996 & -2,141 & -2,860 & -2,547 & -3,274& 2,241 & 2,996 \\
\cline{1-9}0,9 & 2,156 & 2,947 & -2,058 & -2,813 & -2,450 & -3,218& 2,156 & 2,947 \\
\end{tabular} | Create a LaTeX script to illustrate this table. | Slider and roller supported beam: numerical outcomes. | Please give a caption for the LaTeX table. |
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2107.12733v1_train__1fdbcf53-ea5f-42c4-acf9-8ff3fdd0fd27 | 2107.12733v1 | \begin{tabular}{c|cc|cc|c|c}\multicolumn{1}{c}{$\lambda$}&\multicolumn{2}{c}{$u_{\bot}(L)\: [10^{-2}nm] $}&\multicolumn{2}{c}{$\varphi(L)\: [10^{-3}]$}&\multicolumn{1}{c}{$u^{tot}_{max}(s^*) \:[10^{-2}nm] $}&\multicolumn{1}{c}{$u^{tot}_{max}(s^*) \:[10^{-2}nm] $} \\
$ $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ \\
%$\lambda$ & $u_{\bot}(L) [10^{-2}nm] $ & $u_{t}(L) [10^{-2}nm]$ & $\varphi(L) [10^{-3}]$ & $u_{max}^{tot}(L) [10^{-2}nm] $ \\
%$ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $\\
\hline
\cline{1-7}0,1 & -1,036 & -1,135 & -1,658 & -1,751 & 1,136 \:\: $s^*$ = 5,892 & 1,241 \:\: $s^*$ = 5,738 \\
\cline{1-7}0,2 & -0,815 & -1,010 & -1,474 & -1,648 & 0,921 \:\: $s^*$ = 6,041 & 1,117 \:\: $s^*$ = 5,788 \\
\cline{1-7}0,3 & -0,667 & -0,926 & -1,330 & -1,568 & 0,787 \:\: $s^*$ = 6,063 & 1,041 \:\: $s^*$ = 5,774 \\
\cline{1-7}0,4 & -0,574 & -0,874 & -1,221 & -1,506 & 0,703 \:\: $s^*$ = 6,042 & 0,993 \:\: $s^*$ = 5,750 \\
\cline{1-7}0,5 & -0,515 & -0,840 & -1,137 & -1,458 & 0,648 \:\: $s^*$ = 6,009 & 0,962 \:\: $s^*$ = 5,727 \\
\cline{1-7}0,6 & -0,477 & -0,818 & -1,072 & -1,421 & 0,609 \:\: $s^*$ = 5,974 & 0,940 \:\: $s^*$ = 5,707 \\
\cline{1-7}0,7 & -0,450 & -0,802 & -1,020 & -1,391 & 0,580 \:\: $s^*$ = 5,940 & 0,923 \:\: $s^*$ = 5,691 \\
\cline{1-7}0,8 & -0,431 & -0,791 & -0,977 & -1,366 & 0,559 \:\: $s^*$ = 5,910 & 0,911 \:\: $s^*$ = 5,678 \\
\cline{1-7}0,9 & -0,418 & -0,784 & -0,942 & -1,346 & 0,542 \:\: $s^*$ = 5,884 & 0,902 \:\: $s^*$ = 5,667 \\
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Clamped and roller supported beam: numerical outcomes. | May I have a caption for this LaTeX table? |
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2107.12733v1_train__802194d8-16a0-4dbb-a656-4398e1a0e06b | 2107.12733v1 | \begin{tabular}{c|cc|cc|cc|cc}\multicolumn{1}{c}{$\lambda$}&\multicolumn{2}{c}{$u_{\bot}(L)\: [10^{-2}nm] $}&\multicolumn{2}{c}{$u_{t}(L) \:[10^{-2}nm]$}&\multicolumn{2}{c}{$\varphi(L)\: [10^{-3}]$}&\multicolumn{2}{c}{$u^{tot}_{max}(L) \:[10^{-2}nm] $} \\
$ $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ \\
%$\lambda$ & $u_{\bot}(L) [10^{-2}nm] $ & $u_{t}(L) [10^{-2}nm]$ & $\varphi(L) [10^{-3}]$ & $u_{max}^{tot}(L) [10^{-2}nm] $ \\
%$ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $\\
\hline
\cline{1-9}0,1 & 4,131 & 4,289 & -2,633 & -2,732 & 3,808 & 3,916 & 4,899 & 5,085 \\
\cline{1-9}0,2 & 3,744 & 4,068 & -2,406 & -2,602 & 3,528 & 3,756 & 4,450 & 4,829 \\
\cline{1-9}0,3 & 3,414 & 3,879 & -2,209 & -2,490 & 3,264 & 3,605 & 4,066 & 4,609 \\
\cline{1-9}0,4 & 3,149 & 3,728 & -2,048 & -2,398 & 3,037 & 3,475 & 3,756 & 4,432 \\
\cline{1-9}0,5 & 2,939 & 3,608 & -1,916 & -2,323 & 2,847 & 3,367 & 3,509 & 4,291 \\
\cline{1-9}0,6 & 2,770 & 3,511 & -1,809 & -2,261 & 2,690 & 3,277 & 3,308 & 4,176 \\
\cline{1-9}0,7 & 2,632 & 3,432 & -1,721 & -2,211 & 2,558 & 3,202 & 3,145 & 4,083 \\
\cline{1-9}0,8 & 2,518 & 3,367 & -1,647 & -2,169 & 2,447 & 3,138 & 3,008 & 4,005 \\
\cline{1-9}0,9 & 2,422 & 3,312 & -1,584 & -2,133 & 2,352 & 3,084 & 2,894 & 3,939 \\
\end{tabular} | I need the LaTeX code to create this table, please. | Cantilever beam: numerical outcomes. | Can you suggest a caption for this LaTeX table? |
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2107.12733v1_train__ee754b79-1a4e-4c5f-8795-63a04e095799 | 2107.12733v1 | \begin{tabular}{c|cc|cc|cc|cc}\multicolumn{1}{c}{$\lambda$}&\multicolumn{2}{c}{$u_{\bot}(0)\: [10^{-2}nm] $}&\multicolumn{2}{c}{$u_{\bot}(L)\:[10^{-2}nm]$}&\multicolumn{2}{c}{$\varphi(L)\: [10^{-3}]$}&\multicolumn{2}{c}{$u^{tot}_{max}(0) \:[10^{-2}nm] $} \\
$ $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ \\
%$\lambda$ & $u_{\bot}(L) [10^{-2}nm] $ & $u_{t}(L) [10^{-2}nm]$ & $\varphi(L) [10^{-3}]$ & $u_{max}^{tot}(L) [10^{-2}nm] $ \\
%$ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $\\
\hline
\cline{1-9}0,1 & 3,665 & 3,809 & -3,527 & -3,652& -3,945& -4,073 & 3,665 & 3,809\\
\cline{1-9}0,2 & 3,321 & 3,613 & -3,196 & -3,463& -3,652 & -3,905& 3,321 & 3,613 \\
\cline{1-9}0,3 & 3,030 & 3,447 & -2,911 & -3,300& -3,383 & -3,751 & 3,030 & 3,447\\
\cline{1-9}0,4 & 2,798 & 3,314 & -2,683 & -3,170& -3,152 & -3,619& 2,798 & 3,314 \\
\cline{1-9}0,5 & 2,613 & 3,208 & -2,502 & -3,067 & -2,959 & -3,509& 2,613 & 3,208 \\
\cline{1-9}0,6 & 2,464 & 3,123 & -2,357 & -2,984 & -2,797 & -3,417 & 2,464 & 3,123\\
\cline{1-9}0,7 & 2,342 & 3,054 & -2,239 & -2,916 & -2,662 & -3,339& 2,342 & 3,054 \\
\cline{1-9}0,8 & 2,241 & 2,996 & -2,141 & -2,860 & -2,547 & -3,274& 2,241 & 2,996 \\
\cline{1-9}0,9 & 2,156 & 2,947 & -2,058 & -2,813 & -2,450 & -3,218& 2,156 & 2,947 \\
\end{tabular} | Provide LaTeX code for this table. | Slider and roller supported beam: numerical outcomes. | Please write a caption that describes this LaTeX table. |
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2107.12733v1_train__9ff17ac9-de35-4557-a63a-7e6b5e6d5a96 | 2107.12733v1 | \begin{tabular}{c|cc|cc|c|c}\multicolumn{1}{c}{$\lambda$}&\multicolumn{2}{c}{$u_{\bot}(L)\: [10^{-2}nm] $}&\multicolumn{2}{c}{$\varphi(L)\: [10^{-3}]$}&\multicolumn{1}{c}{$u^{tot}_{max}(s^*) \:[10^{-2}nm] $}&\multicolumn{1}{c}{$u^{tot}_{max}(s^*) \:[10^{-2}nm] $} \\
$ $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ & $ m = 0.3 $ & $ m = 0.6 $ \\
%$\lambda$ & $u_{\bot}(L) [10^{-2}nm] $ & $u_{t}(L) [10^{-2}nm]$ & $\varphi(L) [10^{-3}]$ & $u_{max}^{tot}(L) [10^{-2}nm] $ \\
%$ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $ & $ $\\
\hline
\cline{1-7}0,1 & -1,036 & -1,135 & -1,658 & -1,751 & 1,136 \:\: $s^*$ = 5,892 & 1,241 \:\: $s^*$ = 5,738 \\
\cline{1-7}0,2 & -0,815 & -1,010 & -1,474 & -1,648 & 0,921 \:\: $s^*$ = 6,041 & 1,117 \:\: $s^*$ = 5,788 \\
\cline{1-7}0,3 & -0,667 & -0,926 & -1,330 & -1,568 & 0,787 \:\: $s^*$ = 6,063 & 1,041 \:\: $s^*$ = 5,774 \\
\cline{1-7}0,4 & -0,574 & -0,874 & -1,221 & -1,506 & 0,703 \:\: $s^*$ = 6,042 & 0,993 \:\: $s^*$ = 5,750 \\
\cline{1-7}0,5 & -0,515 & -0,840 & -1,137 & -1,458 & 0,648 \:\: $s^*$ = 6,009 & 0,962 \:\: $s^*$ = 5,727 \\
\cline{1-7}0,6 & -0,477 & -0,818 & -1,072 & -1,421 & 0,609 \:\: $s^*$ = 5,974 & 0,940 \:\: $s^*$ = 5,707 \\
\cline{1-7}0,7 & -0,450 & -0,802 & -1,020 & -1,391 & 0,580 \:\: $s^*$ = 5,940 & 0,923 \:\: $s^*$ = 5,691 \\
\cline{1-7}0,8 & -0,431 & -0,791 & -0,977 & -1,366 & 0,559 \:\: $s^*$ = 5,910 & 0,911 \:\: $s^*$ = 5,678 \\
\cline{1-7}0,9 & -0,418 & -0,784 & -0,942 & -1,346 & 0,542 \:\: $s^*$ = 5,884 & 0,902 \:\: $s^*$ = 5,667 \\
\end{tabular} | Convert this table into LaTeX code. | Clamped and roller supported beam: numerical outcomes. | I need a caption for this LaTeX table, please. |
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2401.00692v1_train__c394a786-f3e0-4cec-a730-5d16d5053d1a | 2401.00692v1 | \begin{tabular}{lccc}\toprule& \text{Crop} & \text{Flip} & \text{Rotate} \\
\midrule\text{Probability} & 1.0 & 0.25 & 0.25 \\
\bottomrule\end{tabular} | Create LaTeX code to produce this table. | Probabilities for augmentations. | Can you give me a caption for this LaTeX table? |
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2401.00692v1_train__eed9238f-2e78-44bf-9c06-c506b0cacc2e | 2401.00692v1 | \begin{tabular}{l|cc|c}\textbf{Lesion Type} & \textbf{f1-score(sup)} & \textbf{f1-score (self-sup)} & \textbf{Support} \\
\hline
Actinic keratosis & 0.44 & 0.45 & 498 \\
Basal cell carcinoma & 0.72 & 0.73 & 2549 \\
Benign keratosis & 0.48 & 0.49 & 1663 \\
Dermatofibroma & 0.33 & 0.37 & 173 \\
Melanoma & 0.56 & 0.57 & 3339 \\
Melanocytic nevus & 0.77 & 0.82 & 10601 \\
Squamous cell carcinoma & 0.35 & 0.39 & 414 \\
Vascular lesion & 0.31 & 0.51 & 186 \\
\hline
Weighted avg. & 0.68 & 0.71 & 19423 \\
Accuracy & 0.66 & 0.70 & 19423 \\
\end{tabular} | Create a LaTeX script to illustrate this table. | Combined classification report for skin lesion classification model. Each value is a mean across 35 runs. | Please give a caption for the LaTeX table. |
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2401.00692v1_train__10f689a0-e642-41be-a1e4-1421b9b21ac3 | 2401.00692v1 | \begin{tabular}{l|ccc|c}\textbf{Lesion Type} & \textbf{precision} & \textbf{recall} & \textbf{f1-score} & \textbf{support} \\
\hline
Actinic keratosis & 0.37 & 0.57 & 0.45 & 498 \\
Basal cell carcinoma & 0.70 & 0.75 & 0.73 & 2549 \\
Benign keratosis & 0.49 & 0.50 & 0.49 & 1663 \\
Dermatofibroma & 0.43 & 0.32 & 0.37 & 173 \\
Melanoma & 0.52 & 0.63 & 0.57 & 3339 \\
Melanocytic nevus & 0.86 & 0.78 & 0.82 & 10601 \\
Squamous cell carcinoma & 0.48 & 0.34 & 0.39 & 414 \\
Vascular lesion & 0.53 & 0.51 & 0.51 & 186 \\
\hline
Weighted avg. & 0.72 & 0.70 & 0.71 & 19423 \\
Accuracy & & & & 0.70\end{tabular} | Generate the LaTeX code to recreate this table. | Self-supervised weights. Mean classification report. | Could you generate a caption for this LaTeX table? |
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2401.00692v1_train__6f925000-72e4-4f0b-b733-0b81e46c1a46 | 2401.00692v1 | \begin{tabular}{l|ccc|c}\textbf{Lesion Type} & \textbf{precision} & \textbf{recall} & \textbf{f1-score} & \textbf{support} \\
\hline
Actinic keratosis & 0.36 & 0.57 & 0.44 & 498 \\
Basal cell carcinoma & 0.70 & 0.76 & 0.72 & 2549 \\
Benign keratosis & 0.47 & 0.49 & 0.48 & 1663 \\
Dermatofibroma & 0.37 & 0.30 & 0.33 & 173 \\
Melanoma & 0.50 & 0.63 & 0.56 & 3339 \\
Melanocytic nevus & 0.85 & 0.70 & 0.77 & 10601 \\
Squamous cell carcinoma & 0.36 & 0.34 & 0.35 & 414 \\
Vascular lesion & 0.25 & 0.67 & 0.35 & 186 \\
\hline
Weighted avg. & 0.70 & 0.66 & 0.68 & 19423 \\
Accuracy & & & & 0.66\end{tabular} | Write the LaTeX code for this table. | Supervised weights. Mean classification report | Can you suggest a caption for this LaTeX table? |
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2105.08075v1_train__c298b8c7-56f9-41c0-9a66-af0cce5526e4 | 2105.08075v1 | \begin{tabular}{l l l l l l}\hline
Reference & $k_{r}$ \quad\quad & $k_{nr_{0}}$ \quad\quad & $k_{nr_{1}}$ \quad\quad & $k_{m_{0}}$ \quad\quad & $k_{m_{\pm 1}}$ \quad\\
\hline
Robledo et al.\,\cite{robledoSpinDynamicsOptical2011} \quad\quad & 65 & 11 & 80 & 3.0 & 2.6 \\
Tetienne et al.\,\cite{Tetienne2012} \quad\quad & 65.9 & 7.9 & 53.3 & 0.98 & 0.73 \\
Gupta et al.\,\cite{guptaEfficientSignalProcessing2016} \quad\quad & 66.8 & 10.5 &90.7 &4.8 &2.2\\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Experimentally measured transition rates at zero field. All of the rates are in MHz. | Can you suggest a caption for this LaTeX table? |
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2105.08075v1_train__08f1e8eb-9b24-4a27-b42e-71dc9c9c84e8 | 2105.08075v1 | \begin{tabular}{l l l l l l l l }\hline
NV-Sample \qquad & $\delta_\perp$ (GHz) \qquad & $\phi_\delta$ ($^\circ$) & $g_l$ \qquad\qquad\qquad & $\theta_B$ ($^\circ$) & $\beta_{E_x}$ \qquad\quad\, & $\beta_{E_y}$ \qquad\quad\, & $I_{\rm bck}^{-}$ (cps) \\
\hline
NV1-S1 & 4.444(3) & -11.6(1.3) & 0.1395(9) & 1.14(3) & 0.0221(3) & 0.0242(5) & 4378(92) \\
NV2-S2 & 38.6(7) & 1(59) & (fixed to 0.14) & 0.61(3) & 0.085(5) & 0.186(14) & 70910(244) \\
NV3-S2 & 55.9(6) & -32.2(6) & (fixed to 0.14) & 0.502(10) & 0.240(6) & 0.64(2) & 9091(231) \\
NV5-S2 & 32.0(5) & -29(3) & (fixed to 0.14) & 0.20(2) & 0.43(3) & 0.52(5) & 83198(883) \\
NV4-S3 & 42.3(5) & -26(2) & (fixed to 0.14) & 1.06(3) & 0.102(3) & 0.164(7) & 158011(234)\end{tabular} | Could you please provide me the LaTeX code to generate this table? | Summary of the fit results of the $I_{\rm PL | Could you generate a caption for this LaTeX table? |
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2401.14578v1_train__5596a52d-879a-40f9-a049-99d7a3687fcf | 2401.14578v1 | \begin{tabular}{ll|ccc|cccc}\toprule&& BA- & BA- & Tree- & BA- & \multirow{2}{*}{Mutagenicity} & \multirow{2}{*}{NCI1} \\
&& Shapes & Community & Grid & 2Motifs & &\\
\midrule\multicolumn{2}{l|}{\# Graphs} & 1&1&1& 1,000 &4,337 &4,110 \\
\multicolumn{2}{l|}{\# Nodes (avg)} & 700 & 1,400 &1,231 &25 & 30.32 & 29.87\\
\multicolumn{2}{l|}{\# Edges (avg)} & 4,110 & 8,920 & 3,410& 25.48 & 30.77 & 32.30\\
\multicolumn{2}{l|}{\# Classes } & 4 & 8 & 2&2&2&2\\
\midrule\multirow{3}{*}{Test ACC} &GCN &0.97&0.91&0.97& 1.00 & 0.82&0.81\\
&GraphSAGE & -&-&- & 1.00 & 0.80&0.80\\
&GIN & -&-&- & 1.00 & 0.89&0.83\\
\bottomrule\end{tabular} | Create LaTeX code to produce this table. | Statistics of the datasets used and the classification accuracy of the trained GNNs. | Please write a caption that describes this LaTeX table. |
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2312.15396v1_train__197434de-2543-4dc3-aff6-030a6a75652f | 2312.15396v1 | \begin{tabular}{|l|cccccc|cccccc|}\hline
Category & \multicolumn{12}{c|}{Dose Level}\\
\hline
& 1 & 2 & 3 & 4 & 5 & 6 & 1 & 2 & 3 & 4 & 5 & 6 \\
\hline
& \multicolumn{6}{c|}{Scenario 1} & \multicolumn{6}{c|}{Scenario 2} \\
Toxicity & 0.01 & 0.03 & 0.05 & 0.10 & 0.18 & \textbf{0.24} & 0.03 & 0.05 & 0.10 & 0.15 & \textbf{0.20} & 0.41 \\
Efficacy & 0.05 & 0.10 & 0.20 & 0.30 & 0.45 & \textbf{0.55} & 0.05 & 0.10 & 0.20 & 0.40 & \textbf{0.55} & 0.65 \\
PK & 1000 & 1500 & 2500 & 3600 & 4800 & \textbf{6500} & 1000 & 2000 & 3500 & 6000 & \textbf{7500} & 8500 \\
\hline
& \multicolumn{6}{c|}{Scenario 3} & \multicolumn{6}{c|}{Scenario 4} \\
Toxicity & 0.20 & \textbf{0.30} & 0.40 & 0.50 & 0.60 & 0.70 & \textbf{0.30} & 0.40 & 0.50 & 0.60 & 0.70 & 0.80 \\
Efficacy & 0.40 & \textbf{0.55} & 0.60 & 0.65 & 0.70 & 0.75 & \textbf{0.50} & 0.55 & 0.60 & 0.65 & 0.70 & 0.75 \\
PK & 4500 & \textbf{6000} & 7000 & 8000 & 9000 & 9500 & \textbf{6500} & 7000 & 7500 & 8000 & 8500 & 9000 \\
\hline
& \multicolumn{6}{c|}{Scenario 5} & \multicolumn{6}{c|}{Scenario 6} \\
Toxicity & 0.03 & 0.05 & 0.10 & \textbf{0.20} & 0.30 & 0.45 & 0.10 & 0.15 & 0.21 & \textbf{0.24} & 0.27 & 0.30 \\
Efficacy & 0.10 & 0.30 & 0.45 & \textbf{0.55} & 0.55 & 0.55 & 0.20 & 0.30 & 0.40 & \textbf{0.55} & 0.55 & 0.55 \\
PK & 1000 & 2000 & 4000 & \textbf{6000} & 7500 & 9000 & 2000 & 3000 & 4000 & \textbf{6000} & 6500 & 7000 \\
\hline
& \multicolumn{6}{c|}{Scenario 7} & \multicolumn{6}{c|}{Scenario 8} \\
Toxicity & 0.10 & 0.15 & \textbf{0.21} & 0.24 & 0.27 & 0.30 & 0.10 & \textbf{0.21} & 0.24 & 0.27 & 0.30 & 0.33 \\
Efficacy & 0.30 & 0.40 & \textbf{0.55} & 0.55 & 0.55 & 0.55 & 0.40 & \textbf{0.55} & 0.55 & 0.55 & 0.55 & 0.55 \\
PK & 2000 & 4000 & \textbf{6000} & 6500 & 7000 & 7500 & 4000 & \textbf{6000} & 6500 & 7000 & 7500 & 8000 \\
\hline
& \multicolumn{6}{c|}{Scenario 9} & \multicolumn{6}{c|}{Scenario 10} \\
Toxicity & 0.20 & \textbf{0.25} & 0.30 & 0.40 & 0.45 & 0.50 & 0.10 & 0.20 & \textbf{0.30} & 0.45 & 0.50 & 0.55 \\
Efficacy & 0.30 & \textbf{0.50} & 0.45 & 0.40 & 0.35 & 0.30 & 0.30 & 0.40 & \textbf{0.55} & 0.60 & 0.55 & 0.45 \\
PK & 5000 & \textbf{6500} & 7500 & 8000 & 8500 & 9000 & 4000 & 5000 & \textbf{6000} & 7000 & 7500 & 8000 \\
\hline
& \multicolumn{6}{c|}{Scenario 11} & \multicolumn{6}{c|}{Scenario 12} \\
Toxicity & 0.03 & 0.05 & 0.10 & 0.15 & \textbf{0.20} & 0.25 & \textbf{0.05} & 0.10 & 0.20 & 0.45 & 0.55 & 0.65 \\
Efficacy & 0.10 & 0.30 & 0.40 & 0.50 & \textbf{0.65} & 0.55 & \textbf{0.50} & 0.50 & 0.50 & 0.50 & 0.50 & 0.50 \\
PK & 1500 & 3000 & 4500 & 6000 & \textbf{7500} & 9000 & \textbf{6000} & 7000 & 7500 & 8000 & 8500 & 9000 \\
\hline
& \multicolumn{6}{c|}{Scenario 13} & \multicolumn{6}{c|}{Scenario 14} \\
Toxicity & 0.01 & 0.03 & 0.05 & 0.10 & 0.12 & 0.14 & 0.45 & 0.50 & 0.55 & 0.60 & 0.65 & 0.70 \\
Efficacy & 0.03 & 0.05 & 0.10 & 0.20 & 0.20 & 0.20 & 0.30 & 0.40 & 0.55 & 0.55 & 0.55 & 0.55 \\
PK & 500 & 900 & 1500 & 2600 & 3600 & 4600 & 6000 & 6500 & 7000 & 7500 & 8000 & 8500 \\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | True toxicity probabilities, efficacy probabilities, and PK values for each dose level | Please provide an appropriate caption for this LaTeX table. |
|
2312.15396v1_train__1093e3dd-1163-48e3-8ab8-9916f664bf33 | 2312.15396v1 | \begin{tabular}{|c|cc|cc|cc|cc|cc|}\hline
Scenario & \multicolumn{2}{c|}{$g_P = 0$} & \multicolumn{2}{c|}{$g_P = 0.5$} & \multicolumn{2}{c|}{$g_P = 1$} & \multicolumn{2}{c|}{$g_P = 1.5$} & \multicolumn{2}{c|}{$g_P = 2$} \\
\hline
& B & P & B & P & B & P & B & P & B & P \\
\hline
1 & 37.1 & 51.6 & 37.4 & 51.8 & 36.9 & 53.8 & 38.2 & 56.0 & 37.4 & 57.0 \\
2 & 49.6 & 51.4 & 45.6 & 52.3 & 50.0 & 53.2 & 51.6 & 51.5 & 50.6 & 52.7 \\
3 & 46.1 & 58.2 & 44.8 & 58.3 & 45.9 & 59.2 & 46.5 & 57.2 & 46.5 & 58.3 \\
4 & 69.7 & 70.1 & 69.8 & 69.3 & 69.8 & 70.2 & 69.2 & 70.8 & 70.8 & 70.3 \\
5 & 40.5 & 56.9 & 38.0 & 56.6 & 37.7 & 58.0 & 37.2 & 58.0 & 41.1 & 61.0 \\
6 & 32.8 & 44.4 & 31.9 & 43.9 & 34.0 & 47.1 & 34.4 & 46.8 & 34.8 & 47.0 \\
7 & 35.7 & 44.6 & 36.7 & 44.2 & 34.8 & 45.1 & 35.9 & 45.9 & 34.3 & 47.9 \\
8 & 37.5 & 47.2 & 35.0 & 44.4 & 37.9 & 47.0 & 36.4 & 45.8 & 37.0 & 45.6 \\
9 & 55.9 & 59.9 & 55.8 & 61.3 & 55.6 & 61.2 & 56.9 & 61.6 & 57.0 & 62.5 \\
10 & 38.7 & 57.6 & 38.0 & 55.3 & 38.4 & 57.5 & 38.2 & 59.5 & 38.6 & 57.8 \\
11 & 43.4 & 44.6 & 44.8 & 45.8 & 43.1 & 45.1 & 44.5 & 46.0 & 42.8 & 43.0 \\
12 & 42.8 & 42.4 & 41.1 & 44.8 & 41.6 & 44.5 & 43.6 & 46.1 & 41.1 & 45.6 \\
13 & 0.1 & 84.5 & 0.4 & 85.0 & 0.3 & 84.7 & 0.2 & 85.8 & 0.2 & 86.2 \\
14 & 57.0 & 56.9 & 55.5 & 57.0 & 56.4 & 54.8 & 55.3 & 55.5 & 56.5 & 59.2 \\
\hline
\end{tabular} | Generate the LaTeX code to recreate this table. | OBD selection probabilities for BOIN12 (B) and PKBOIN-12 (P) across all scenarios given different values of $g_P$ | Can you suggest a caption for this LaTeX table? |
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2010.01791v1_train__0ca582cc-9629-46ed-9b8b-45583e280504 | 2010.01791v1 | \begin{tabular}{l|l|l}\hline
\textbf{Hyperparameter} & \textbf{Pre-training} & \textbf{Fine-tuning}\\
\hline
Number of layers & 12 & 12\\
Hidden size & 768 & 768\\
FFN inner hidden size & 3072 & 3072 \\
Attention heads & 12 & 12\\
Attention head size & 64 & 64\\
Embedding size & 768 & 768\\
Mask percent & 15 & -\\
Learning rate decay & linear & linear\\
Layerwise LR decay & - & 0.8 \\
Warmup steps & 10000 & -\\
Warmup fraction & - & 0.1 \\
Learning Rate & 2e-4 & 1e-4\\
Adam $\epsilon$ & 1e-6 & 1e-6\\
Adam $\beta_1$ & 0.9 & 0.9\\
Adam & 0.999 & 0.999\\
Attention dropout & 0.1 & 0.1\\
Dropout & 0.1 & 0.1\\
Weight decay & 0.01 & 0.01\\
$\textit{l}_1$ regularization factor & - & 0.01 \\
Batch size & 2048 & 32\\
Train steps & 1M & -\\
Train epochs & - & 3.0/iter for MRPC, \\
& & 1.0 for others \\
\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Pre-training and Fine-tuning hyperparameters | Can you give me a caption for this LaTeX table? |
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2111.01246v1_train__e7df06a8-490a-4ebd-bafe-ab7e7394465d | 2111.01246v1 | \begin{tabular}{|l|c|c|c|c|} \hline
\textbf{Dataset} & \textbf{\# of Frames} &\textbf{Radar} & \textbf{LiDAR} & \textbf{Camera} \\
\hline
nuScenes \cite{nuScenes} & $40,000$ & Sparse point clouds & $\surd$ & $\surd$ \\
Oxford Radar \cite{Oxford_radar_robotcar} & $240,000$ & High resolution radar image & $\surd$ & $\surd$ \\
Astyx \cite{Astyx} & $500$ & Sparse point clouds & $\surd$ & $\surd$ \\
RADIATE \cite{RADIATE} & $44,000$ & High resolution radar image & $\surd$ & $\surd$ \\
CRUW \cite{CRUW} & $396,241$ & Low resolution radar image & $ \times$ & $\surd$\\
Zendar \cite{Zendar} & $94,460$ & SAR with low resolution radar & $\surd$ & $\surd$ \\
CARRADA \cite{CARRADA} & $12,666$ & Sparse point clouds & $ \times$ & $\surd$\\
RadarScenes \cite{RadarScenes} & $975$ & Sparse point clouds & $ \times$ & $\surd$\\
\hline
\end{tabular} | Could you please provide me the LaTeX code to generate this table? | Overview of publicly available radar data sets. | Please create a caption for this LaTeX table. |
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2111.01246v1_train__dec36eea-c5b8-4c81-a17b-ed8cb90dd022 | 2111.01246v1 | \begin{tabular}{|l|l |c|}\hline
{\bf Sensors} & {\bf Model}\\
\hline
Radar & TI Imaging Radar, Azimuth Resolution: $1.2^\circ$, Azimuth FOV: $70^\circ$ \\
\hline
LiDAR & Velodyne Ultra Puck VLP-32C, Azimuth Resolution: $0.1^\circ$ - $0.4^\circ$\\
& Vertical FOV: $40^\circ$, Maximum Range: 200 m \\
\hline
Camera & Teledyne FLIR Blackfly S, Stereo, Image Resolution: 2048 × 1536 \\
\hline
\end{tabular} | Provide LaTeX code for this table. | Multi-Modal Sensors | Please create a caption for this LaTeX table. |
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2111.01246v1_train__5945fd86-bb62-497d-9dba-96f65137d4fc | 2111.01246v1 | \begin{tabular}{|l |l|c|}\hline
{\bf Parameters} & {\bf Frame $n$} & {\bf Frame $n+1$}\\
% [0.5ex]\hline
Max Range & 150 m & 150 m\\
\hline
Max Velocity & 5.15 m/s & 3.97 m/s\\
\hline
Range Resolution & 0.6 m & 0.6 m\\
\hline
Angle Resolution & $1.2^\circ$ & $1.2^\circ$ \\
%[1ex]\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Radar Parameters | Please write a caption that describes this LaTeX table. |
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2111.01246v1_train__637b6e22-71b8-4e5f-a537-ee7732cc95a1 | 2111.01246v1 | \begin{tabular}{|l| c |c| c| c|}\hline
{\bf Model} & {\bf AP} & {\bf [email protected]} & {\bf [email protected]} & {\bf AR}\\
% [0.5ex]\hline
Faster R-CNN Resnet-50 & 75.6\% & 96.1\% & 89 \%& 79.7\%\\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | Evaluation Metrics | Could you provide a caption for this LaTeX table? |
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2112.10356v2_train__e223a576-4b7d-4c4f-8cdd-0d2b8c046add | 2112.10356v2 | \begin{tabular}{|c|p{2.4cm}|p{3.4cm}|p{2.4cm}|}\hline
\multirow{2}{*}{\textbf{Priority}} & \multicolumn{3}{c|}{\textbf{Data Source}}\\
\cline{2-4}& \textbf{Bugzilla} & \textbf{Mozilla Advisory} & \textbf{NVD}\\
\hline
1st & V2, V7, V8 & V1, V2, V4, V6, V7, V8, V10 & V1, V2, V4, V8, V10 \\
\hline
2nd & V1, V3, V4 ,V5, V10 & V9 & V3, V5 \\
\hline
3rd & V6, V9 & V3, V5 & V6, V7, V9 \\
\hline
\end{tabular} | Provide LaTeX code for this table. | The prioritization scheme for SVs fixed in Firefox 77 that is inferred directly from the severity rankings in table \ref{tab:sev_example | Could you generate a caption for this LaTeX table? |
|
2112.10356v2_train__99a7c5ad-c0cd-4be1-94dc-768ce5b31d8f | 2112.10356v2 | \begin{tabular}{c|cccc}\hline
\multirow{2}{*}{\textbf{Data Source}} & \multicolumn{4}{c}{\textbf{Severity Rankings}}\\
\cline{2-5}& \textbf{1st} & \textbf{2nd} & \textbf{3rd} & \textbf{4th}\\
\hline
Bugzilla & blocker (S1) & critical/major (S2) & normal (S3) & minor (S4)\\
\hline
Mozilla Adv. & critical & high & moderate & low\\
\hline
NVD & critical & high & medium & low\\
\hline
\hline
\textit{Normalized} & \textit{critical} & \textit{high} & \textit{medium} & \textit{low}\\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Normalization of data source severity rankings. | Please write a caption that describes this LaTeX table. |
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2112.10356v2_train__5ebde93d-e087-49ec-8da3-682286cabb62 | 2112.10356v2 | \begin{tabular}{|p{1.5cm}|p{3.25cm}|p{6.5cm}|p{6cm}|}\hline
\textbf{Category} & \textbf{Name} & \textbf{Definition} & \textbf{Rationale}\\
\hline
\multirow{3}{1.5cm}{Fix Difficulty} & Number of Patches & The number of patches that were submitted to fix the SV. & \multirow{3}{6cm}{If an SV is difficult to remediate, developers may not be able to properly assess it due to a lack of comprehension.}\\
\cline{2-3}& Number of Files & The number of files edited across all patches. & \\
\cline{2-3}& Number of Changes & The number of lines added, modified or deleted across all patches. & \\
\hline
\multirow{4}{1.5cm}{Review Process} & Fix Time & Time to fix a bug (resolved date - opened date). & Quickly resolved bugs may be ill-considered. \\
\cline{2-4}& Number of Comments & The number of comments on the bug report. & \multirow{2}{6cm}{Extensive discussion may imply uncertainty of the evaluation of the SV.}\\
\cline{2-3}& Number of Users & The number of users who comment on the bug report. & \\
\cline{2-4}& Number of CC & The number of users in the mailing list for the bug report. & Heavy interest may imply better SV assessment. \\
\hline
\multirow{2}{1.5cm}{SV Nature} & Description Length & The number of words in the description. & More explanation may provide easier assessment.\\
\cline{2-4}& Is Crash & Whether the string `crash' in the description. & Crashes have been shown to be indicative of severity label noise \cite{tian2016unreliability}. \\
\hline
\multirow{9}{2cm}{Reporter Expertise} & Reporter Bugs Filed & The number of bugs filed by the user. & \multirow{2}{6cm}{Users who are good at reporting bugs may also be good at assessing them.}\\
\cline{2-3}& Reporter Comments & The number of comments made by the user. & \\
\cline{2-4}& Reporter Patches Submitted & The number of patches submitted by the user. & \multirow{6}{6cm}{Users who are good at resolving bugs may also be good at assessing them.}\\
\cline{2-3}& Reporter Patches Reviewed & The number of patches reviewed by the user. & \\
\cline{2-3}& Reporter Bugs Resolved & The number of bugs resolved by the user. & \\
\cline{2-3}& Reporter Bugs Fixed & The number of bugs fixed by the user. & \\
\cline{2-3}& Reporter Bugs Verified & The number of bugs verified by the user. & \\
\cline{2-3}& Reporter Bugs Invalid & The number of bugs invalidated by the user. & \\
\cline{2-4}& Reporter Profile Age & The profile age of the user (current date - creation date). & Older users may be better at assessing SVs. \\
\hline
\end{tabular} | Create LaTeX code to produce this table. | Attributes of a bug report that may influence SV severity misjudgment. | Please provide an appropriate caption for this LaTeX table. |
|
2112.10356v2_train__25412f4f-de18-4a1e-894a-48e5a3735beb | 2112.10356v2 | \begin{tabular}{p{1cm}p{3cm}p{1cm}p{1cm}p{1cm}}\hline
\textbf{CWE ID} & \textbf{Category} & \textbf{\# Cases} & \textbf{\# Consistent} & \textbf{\% Consistent}\\
\hline
CWE 664 & Improper Control of a Resource Through its Lifetime & 1566 & 239 & 15.26\\
\hline
CWE 707 & Improper Neutralization & 188 & 91 & 48.4\\
\hline
CWE 264 & Permissions, Privileges \& Access Controls & 123 & 44 & 35.77\\
\hline
CWE 693 & Protection Mechanism Failure & 34 & 14 & 41.18\\
\hline
CWE 399 & Resource Management Errors & 32 & 5 & 15.63\\
\hline
\end{tabular} | Could you please provide me the LaTeX code to generate this table? | Number and percentage of consistently assessed SVs for the five most dominant CWE categories (cases $>$ 30). | Please write a caption that describes this LaTeX table. |
|
2112.10356v2_train__52e4fdf9-5f16-4ce5-ad79-0663494dc4c9 | 2112.10356v2 | \begin{tabular}{cccc}\hline
\textbf{Description Source} & \textbf{Severity Source} & \textbf{MCC} & \textbf{\% Change}\\
\hline
\hline
Bugzilla & Bugzilla & 0.184 & -\\
\hline
Bugzilla & Mozilla Advisory & 0.042 & -77.17\\
\hline
Bugzilla & NVD & 0.124 & -32.61\\
\hline
\hline
Mozilla Advisory & Mozilla Advisory & 0.16 & -\\
\hline
Mozilla Advisory & Bugzilla & 0.051 & -68.13\\
\hline
Mozilla Advisory & NVD & 0.231 & +44.38\\
\hline
\hline
NVD & NVD & 0.217 & -\\
\hline
NVD & Bugzilla & 0.062 & -71.43\\
\hline
NVD & Mozilla Advisory & 0.086 & -60.37\\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Severity prediction model performance for different SV description and severity ranking data sources. \% Change indicates the percentage change in MCC from using a uniform description and severity data source. | I need a caption for this LaTeX table, please. |
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2306.00323v3_train__2fc2f2cd-ee53-4061-970c-a3a22b9e2ff0 | 2306.00323v3 | \begin{tabular}{|c|c|}\hline
\textbf{Hyperparameter} & \textbf{Value} \\
\hline
Adam $\beta_1$ & 0.9 \\
\hline
Adam $\beta_2$ & 0.99 \\
\hline
Adam $\epsilon$ & $10^{-5}$ \\
\hline
Entropy Coefficient & 0.01 \\
\hline
Image Embedding Dimension & 128 \\
\hline
Text Embedding Dimension & 256 \\
\hline
Memory Dimension & 2048 \\
\hline
\end{tabular} | Convert this table into LaTeX code. | Hyperparameter Settings | Could you generate a caption for this LaTeX table? |
|
2401.13184v1_train__b7b70613-e945-4f6d-8900-de4c9d5dfabe | 2401.13184v1 | \begin{tabular}{cccc}& \multicolumn{3}{c}{Susceptibility}\\
\cline{2-4}\noalign{\vskip0.1cm}Real or Imaginary & Gaussian\textsuperscript{a} & Lorentzian & Rectangle \\
\midrule\noalign{\vskip0.5cm}$\chi'(\omega)$ & $-\frac{g^{2}N\sqrt{2}}{\sigma}F(\frac{\omega-\omega_{0}}{\sqrt{2}\sigma})$ & $-g^{2}N\frac{(\omega-\omega_{0})}{(\omega-\omega_{0})^{2}+(\sigma/2)^{2}}$ & $-\frac{g^{2}N}{\sigma}\ln|\frac{\omega-\omega_{0}+\sigma/2}{\omega-\omega_{0}-\sigma/2}|$ \\
\noalign{\vskip0.5cm}$\chi''(\omega)$ & $\frac{g^{2}N}{\sigma}\sqrt{\frac{\pi}{2}}\exp[-\frac{1}{2}(\frac{\omega-\omega_{0}}{\sigma})^{2}],$ & $g^{2}N\frac{\sigma/2}{(\omega-\omega_{0})^{2}+(\sigma/2)^{2}}$ & $\frac{g^{2}N\pi}{\sigma}\text{rec}[2(\omega-\omega_{0})/\sigma],$ \\
\noalign{\vskip0.5cm}\midrule\noalign{\vskip0.1cm}\multicolumn{4}{c}{\textsuperscript{a}Here $F(y)=\exp[-y^{2}]\int_{0}^{y}dte^{t^{2}}$ isthe Dawson function.}\\
\end{tabular} | I need the LaTeX code to create this table, please. | Real and imaginary parts of the molecular susceptibility\label{tab:Real-and-imaginary | May I have a caption for this LaTeX table? |
|
2401.13184v1_train__f7d47af8-da0a-42d1-8973-0145d52f1392 | 2401.13184v1 | \begin{tabular}{ccccccccc}\multicolumn{1}{l}{} & \multicolumn{2}{c}{{\footnotesize{}Gaussian}} & & \multicolumn{2}{c}{{\footnotesize{}Lorentzian}\textsuperscript{}} & & \multicolumn{2}{c}{{\footnotesize{}Rectangle}}\\
\cline{2-9}\noalign{\vskip0.1cm}{\footnotesize{}Optical Signal} & {\footnotesize{}$\text{\ensuremath{\sigma<g\sqrt{N}}}$} & {\footnotesize{}$\sigma>g\sqrt{N}$} & & {\footnotesize{}$\text{\ensuremath{\sigma<g\sqrt{N}}}$} & {\footnotesize{}$\sigma>g\sqrt{N}$} & & {\footnotesize{}$\text{\ensuremath{\sigma<g\sqrt{N}}}$} & {\footnotesize{}$\sigma>g\sqrt{N}$}\\
\midrule{\footnotesize{}$A(\omega)$} & {\footnotesize{}increases} & {\footnotesize{}decreases} & & {\footnotesize{}decreases} & {\footnotesize{}decreases} & & {\footnotesize{}increases} & {\footnotesize{}decreases; narrow side bands}\\
{\footnotesize{}$T(\omega)$} & {\footnotesize{}increases} & {\footnotesize{}decreases} & & {\footnotesize{}increases} & {\footnotesize{}decreases} & & {\footnotesize{}increases} & {\footnotesize{}decreases; narrow side bands}\\
{\footnotesize{}$R(\omega)$} & {\footnotesize{}increases} & {\footnotesize{}decreases} & & {\footnotesize{}increases or decreases}\textsuperscript{{\footnotesize{}a}} & {\footnotesize{}decreases} & & {\footnotesize{}increases} & {\footnotesize{}decreases; narrow side bands}\\
\midrule\multicolumn{9}{l}{{\footnotesize{}}\textsubscript{}{\footnotesize{}}\textsuperscript{{\footnotesize{}a}}{\footnotesize{}Forthe Lorenzian, the VRS in the reflection spectrum increases if $\kappa_{L}^{2}/\kappa_{R}^{2}<1$and decreases if $\kappa_{L}^{2}/\kappa_{R}^{2}>1$ (See Table \ref{tab:Vacuum-Rabi-Splitting})}}\\
\end{tabular} | I need the LaTeX code to create this table, please. | Vacuum Rabi splitting trends with disorder \label{tab:Trends | Please create a caption for this LaTeX table. |
|
2401.13184v1_train__db3b881d-caa6-4c70-8a17-3fa3028dd90c | 2401.13184v1 | \begin{tabular}{cccc}& \multicolumn{3}{c}{Vacuum Rabi Splitting}\tabularnewline\cline{2-4}Optical Signal & Gaussian & Lorentzian\textsuperscript{a} & Rectangle\\
\midrule\noalign{\vskip0.5cm}$A(\omega)$ & 0 & $2g\sqrt{N}-\frac{\sigma^{2}}{8\sqrt{g^{2}N-\frac{\kappa^{2}}{8}}}$ & 0\\
\noalign{\vskip0.5cm}$T(\omega)$ & $2\sqrt{\frac{1}{2}g^{2}N+\frac{1}{2}\sqrt{g^{4}N^{2}+4g^{2}N\sigma^{2}}}$ & $2g\sqrt{N}+\frac{\kappa\sigma}{4g\sqrt{N}}$ & $2\sqrt{\frac{1}{2}g^{2}N+\frac{1}{2}\sqrt{g^{4}N^{2}+\frac{\sigma^{2}g^{2}N}{3}}}$\\
\noalign{\vskip0.5cm}$R(\omega)$ & $2\sqrt{\frac{1}{2}g^{2}N+\frac{1}{2}\sqrt{g^{4}N^{2}+4g^{2}N\sigma^{2}}}$ & $2g\sqrt{N}-\frac{(\frac{\kappa_{L}^{2}}{\kappa_{R}}-\kappa_{R})\sigma}{8g\sqrt{N}}$ & $2\sqrt{\frac{1}{2}g^{2}N+\frac{1}{2}\sqrt{g^{4}N^{2}+\frac{\sigma^{2}g^{2}N}{3}}}$\\
\noalign{\vskip0.5cm}\midrule\noalign{\vskip0.1cm}\multicolumn{4}{c}{\textsuperscript{a}For larger values of $\sigma$, Eqs. \ref{eq:Lorentzian_up_lp_abs}-\ref{eq:Lorentzian_up_lp_refl}should be used to extract the correct value for $g\sqrt{N}$.}\\
\end{tabular} | Could you please provide me the LaTeX code to generate this table? | Vacuum Rabi splitting expressions for when $\sigma\ll g\sqrt{N | Please give a caption for the LaTeX table. |
|
2402.13030v1_train__b83d2df7-2ef0-48dc-bfe1-168b3a2798a6 | 2402.13030v1 | \begin{tabular}{cccc}\hline
Threshold Quantile & Transition in $U$ & Memory Compr. & SSIM \\
\hline
0 & $0.003628 \pm 10^{-7}$ & - & - \\
0.91 & $0.003628 \pm 10^{-7}$ & 0.82 & 1.0 \\
0.93 & $0.003628 \pm 10^{-7}$ & 0.86 & 1.0 \\
0.95 & $0.003628 \pm 10^{-7}$ & 0.90 & 1.0 \\
0.97 & $0.003628 \pm 10^{-7}$ & 0.94 & 0.999 \\
0.99 & $0.003628 \pm 10^{-7}$ & 0.98 & 0.901 \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Value of the Hubbard $U$ where the lowest eigenvalue of the reconstructed generalized charge susceptibility $\chi^c$ at $\beta=1000$ vanishes, for a decomposition level of $l=6$ and a frequency size of $512\times512$ for various threshold quantiles. Additionally, the compression metric for the memory and the SSIM are reported. The divergence in the original, uncompressed vertex is also found to be at $U = 0.003628 \pm 10^{-7 | I need a caption for this LaTeX table, please. |
|
2402.13030v1_train__6b724279-e646-415e-9027-ebcfa5846b53 | 2402.13030v1 | \begin{tabular}{ccccc}\hline
Threshold Quantile & Value of $\lambda_{max}$ & $\lambda_{max} \times w_{max}$ & Memory Compr. & SSIM \\
\hline
0 & 987605.434 & 326.211 & - & - \\
0.91 & $987577.921$ & 326.203 & 0.82 & 0.857 \\
0.93 & $987569.835$ & 326.202 & 0.86 & 0.835 \\
0.95 & $987553.718$ & 326.198 & 0.90 & 0.790 \\
0.97 & $987503.102$ & 326.184 & 0.94 & 0.699 \\
0.99 & $987246.247$ & 326.117 & 0.98 & 0.525 \\
\hline
\end{tabular} | Generate the LaTeX code to recreate this table. | Value of the maximal eigenvalue of the generalized charge susceptibility at $U=1$ and $\beta=1000$ vanishes, for a decomposition level of $l=6$ and a frequency size of $512\times512$ for various threshold quantiles. Additionally, the compression metric for the memory and the SSIM are reported. The magnitude of the maximal eigenvalue of the original, uncompressed susceptibility is $\lambda_{max | I need a caption for this LaTeX table, please. |
|
1910.09136v2_train__1a28f230-9caa-4114-ba25-c519d8be37b0 | 1910.09136v2 | \begin{tabular}{|c|c|}\hline
\textbf{Parameter} & \textbf{Value} \\
\hline
Modulation scheme & 4-QAM \\
\hline
Transmit antennas, $M$ & 32 \\
\hline
Reflecting elements, $N$ & 64 \\
\hline
Channel fading & $\mathbf{H}^H_{s,u} , \mathbf{h}^H_{d,u} \sim \mathcal{CN}(0, 1)$ \\
\hline
Pathloss & $\frac{10^{-2}}{d^{-3.75}}$ \\
\hline
AWGN & $n \sim \mathcal{CN}(0, SNR)$ \\
\hline
SNR during training & $0\text{dB}$ - $30\text{dB}$ \\
\hline
Batch size & 64 \\
\hline
No. of training data samples & $7 \times 10^4$ \\
\hline
Validation split & 20\% \\
\hline
Validation patience & 50 \\
\hline
Total training steps & 1000 \\
\hline
Optimizer & Adam, $\delta_{1} = 0.9$, $\delta_{2} = 0.999$ \\
\hline
Regularization & $\lambda = 0.0001$ , $p = 0.5$ \\
\hline
Learning rate, $\eta$ & 0.01 \\
\hline
\end{tabular} | Create LaTeX code to produce this table. | Parameters used for simulations | Can you give me a caption for this LaTeX table? |
|
2211.12057v1_train__8eb11894-19f8-4d80-81c3-76310458f763 | 2211.12057v1 | \begin{tabular}{|c|c|c|c|c|c|c|c|c|}\hline
label & $a$ (fm) & $L^3\times T$ & $m_\pi$ (MeV) & $m_S$ (MeV) & $m_\pi L$ & \#configs & sep. & \#low modes \\
\hline
96 & 0.05684 & $96^3\times 192$ & 134.3 & 153 & 3.71 & 77 & 60 & 8000\\
64 & 0.08787 & $64^3\times 96$ & 129.5 & 212 & 3.69 & 78 & 100 & 8000\\
48I & 0.12121 & $48^3\times 64$ & 132.7 & 326 & 3.91 & 32 & 100 & 8000\\
32 & 0.15148 & $32^3\times 48$ & 133.0 & 418 & 3.27 & 48 & 40 & 8000 \\
48II & 0.15099 & $48^3\times 64$ & 134.3 & 418 & 4.93 & 40 & 100 & 8000\\
\hline
\end{tabular} | Convert this table into LaTeX code. | {\it Parameters defining the lattice ensembles. Columns contain a label to refer to the ensemble, the lattice spacing $a$, the spatial volume $L^3$ times the temporal direction $T$ (in lattice units), the Nambu--Goldstone pion mass $m_\pi$, the maximum pion mass $m_S$ in the pion taste multiplet, $m_\pi L$, the number of configurations in the ensemble, the separation between measurements ({\rm ``sep.'' | Please create a caption for this LaTeX table. |
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2210.01884v1_train__0facb638-1cfe-42a2-bad2-a5cc88391486 | 2210.01884v1 | \begin{tabular}{l|c|c|c|c}\hline
Name & Supervision & Sampling & Matching & mIoU \\
\hline
BaR & labels & \textbf{Ba}lanced & \textbf{R}egion & \textbf{73.4} \\
BaX & labels & \textbf{Ba}lanced & e\textbf{X}act & 61.2 \\
RaR & labels & \textbf{Ra}ndom & \textbf{R}egion & 48.6 \\
RaX & labels & \textbf{Ra}ndom & e\textbf{X}act & 60.5 \\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Supervised Baselines | Please provide an appropriate caption for this LaTeX table. |
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2210.01884v1_train__1bb31865-f79b-43e9-8826-395424f53aa7 | 2210.01884v1 | \begin{tabular}{l|c|c}\hline
Weights & mIoU (AVD-easy) & mIoU (AVD-hard) \\
\hline
\hline
Random & 66.7 & 49.1 \\
\hline
ADE20K & 69.3 & \textbf{69.1} \\
\hline
RegConsist (Ours) & \textbf{69.5} & 64.8 \\
\hline
\end{tabular} | Please create LaTeX code to produce this table. | Results on AVD | Can you give me a caption for this LaTeX table? |
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2210.01884v1_train__6913d983-d17f-4591-bca8-bc9f891d9c7e | 2210.01884v1 | \begin{tabular}{l|c|c|c|c}\hline
Labeled Images & 5\% & 10\% & 20\% & 30\% \\
\hline
ADE20K & 59.2 & 67.2 & 76.8 & 80.1 \\
\hline
RegConsist (Ours) & \textbf{62.7} & \textbf{67.8} & \textbf{77.3} & \textbf{80.5} \\
\hline
\end{tabular} | Convert this table into LaTeX code. | Number of Labeled Examples | Could you generate a caption for this LaTeX table? |
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2210.01884v1_train__158d53df-3357-4e97-9cd8-6f50d659aca9 | 2210.01884v1 | \begin{tabular}{l|c|c|c}\hline
Initialization & Dataset & Training & mIoU \\
\hline
Random & -- & None & 57.0 \\
ImageNet-sup & ImageNet & Supervised & 56.7 \\
PixPro-400 \cite{PixPro} & ImageNet & Self-supervised & \textbf{57.4} \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Starting Weights | Can you suggest a caption for this LaTeX table? |
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2312.05627v1_train__1b5acf13-0600-4984-a585-ad98fae98d72 | 2312.05627v1 | \begin{tabular}{||c| c |c| c||}\hline
LP & X & Y & C \\
[0.5ex]\hline
L1 & -0.8443 & 0 & 2.8575 \\
L2 & -1.1256 & 0 & 2.8719 \\
L3 & 0.9696 & 0 & 3.5446 \\
[1ex]\hline
\end{tabular} | Provide LaTeX code for this table. | Location of the Collinear Lagrange Equilibrium points. | May I have a caption for this LaTeX table? |
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2312.05627v1_train__691859aa-5233-42dd-a8e8-faab72b114ea | 2312.05627v1 | \begin{tabular}{||l|c|c|c||}\hline
Exoplanet systems & $\beta$ & $\mu$ & $a$ \\
[0.5ex]\hline
CoRoT-2b & 0.0155 & 0.0032 & 0.9997 \\
TOI-1278 b & 0.0023 & 0.0318 & 0.9999 \\
HAT-P-20 b & 0.0052 & 0.0093 & 0.9999 \\
Kepler-75 b & 0.0118 & 0.0105 & 0.8214 \\
WASP- 89 b & 0.0097 & 0.0060 & 0.9940 \\
TIC 172900988 b & 0.0381 & 0.0020 & 0.9966 \\
NGTS 9b & 0.0422 & 0.0021 & 0.9982 \\
LP 714 - 47 b & 0.0026 & 0.0002 & 0.9992 \\
WASP- 162 b & 0.0189 & 0.0052 & 0.9009 \\
XO- 3 b & 0.0498 & 0.0092 & 0.9656 \\
\hline
\end{tabular} | Write the LaTeX code for this table. | Numerical Data | May I have a caption for this LaTeX table? |
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2312.05627v1_train__40206776-e401-4957-845d-3ca116d1a2cd | 2312.05627v1 | \begin{tabular}{||c| c |c| c||}\hline
Exoplanet systems & $L_1$ & $\pm \lambda_{1,2}$ & $\pm \lambda_{3,4}$ \\
[0.5ex]\hline
CoRoT-2b & $(-0.8957,0)$ & $0.9824$ & $2.0847\it{i}$ \\
TOI-1278 b & $(-0.7639,0)$ & $1.4432$ & $2.5594\it{i}$ \\
HAT-P-20 b & $(-0.8516,0)$ & $1.1161$ & $2.21248it{i}$ \\
Kepler-75 b & $(-0.8525,0)$ & $1.1111$ & $2.2078\it{i}$ \\
WASP- 89 b & $(-0.8724,0)$ & $1.0498$ & $2.1480\it{i}$ \\
TIC 172900988 b & $(-0.9086,0)$ & $0.9319$ & $2.0389\it{i}$ \\
NGTS 9b & $(-0.9069,0)$ & $0.9327$ & $2.0397\it{i}$\\
LP 714 - 47 b & $(-0.9626,0)$ & $0.8298$ & $1.9512\it{i}$ \\
WASP- 162 b & $(-0.8808,0)$ & $1.0207$ & $2.1204\it{i}$\\
XO- 3 b & $(-0.8475,0)$ & $1.0923$ & $2.1893\it{i}$ \\
\hline
\end{tabular} | Write the LaTeX code for this table. | Characterstic roots for $L_1$ point | Please create a caption for this LaTeX table. |
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2312.05627v1_train__41c06480-e8d2-46b9-9fc8-28b3d7973586 | 2312.05627v1 | \begin{tabular}{||c| c |c| c||}\hline
Exoplanet systems & $L_2$ & $\pm \lambda_{1,2}$ & $\pm \lambda_{3,4}$ \\
[0.5ex]\hline
CoRoT-2b & (-1.1013,0) & 0.5211 & 1.737832\it{i} \\
TOI-1278 b & (-1.2040,0) & 0.3478 & 1.650364\it{i} \\
HAT-P-20 b & (-1.1428,0) & 0.4545 & 1.698284\it{i} \\
Kepler-75 b & (-1.1373,0) & 0.4628 & 1.702496\it{i} \\
WASP- 89 b & (-1.1240,0) & 0.4887 & 1.716077\it{i} \\
TIC 172900988 b & (-1.0839,0) & 0.5451 & 1.747966\it{i} \\
NGTS 9b & (-1.0846,0) & 0.5405 & 1.745227\it{i} \\
LP 714 - 47 b & (-1.0374,0) & 0.6680 & 1.827509\it{i} \\
WASP- 162 b & (-1.1135,0) & 0.5016 & 1.723090\it{i} \\
XO- 3 b & (-1.1366,0) & 0.4292 & 1.685871\it{i} \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | Characterstic roots for $L_2$ point | Please create a caption for this LaTeX table. |
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2312.05627v1_train__bc908c09-9f5e-4dd2-955e-da3bc4ff51a1 | 2312.05627v1 | \begin{tabular}{||c| c |c| c||}\hline
Exoplanet systems & $L_3$ & $\lambda_{1,2}$ & $ \lambda_{3,4}$ \\
%[0.5ex]\hline
CoRoT-2b & (0.9962,0) & $\pm 4116$ & $\pm 5836$\\
TOI-1278 b & (1.0125,0) & $\pm 19.037$ \it{i} & $\pm 27.231$ \it{i} \\
HAT-P-20 b & (1.0021,0) & $\pm78.975$\it{i} & $\pm111.76$\it{i} \\
Kepler-75 b & (1.0003,0) & $\pm82.518$\it{i} & $\pm116.771$\it{i} \\
WASP- 89 b & 0.9992,0) & $\pm 196.43$\it{i} & $\pm 289.32$\it{i} \\
TIC 172900988 b & (0.9880,0) & $\pm 44.539$ & $\pm 62.852$\\
NGTS 9b & (0.9866,0) & $\pm 37.681$ & $\pm 53.128$ \\
LP 714 - 47 b & (0.9992,0) & $1110.13$ & $784.261 $ \\
WASP- 162 b & (0.9958,0) & $\pm 0.00111$ \it{i} & $\pm 3721.4 $ \it{i} \\
XO- 3 b & (0.9870,0) & $\pm 414.1784$ & $\pm 585.51$ \\
\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Characterstic roots for $L_3$ point | I need a caption for this LaTeX table, please. |
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2203.05412v2_train__d5b734c4-cf80-48d7-b8b1-90fcfb22c598 | 2203.05412v2 | \begin{tabular}{@{}cccccccc@{}}\toprule[2pt]\multirow{2}{*}{Model} & \multirow{2}{*}{Element} & \multicolumn{3}{c}{NYT$^*$} & \multicolumn{3}{c}{WebNLG$^*$} \\
\cmidrule(l){3-5} \cmidrule(l){6-8}& & Prec. & Rec. & F1 & Prec. & Rec. & F1 \\
\midrule\multirow{3}{*}{CasRel} & $(h, t)$& 89.2 & 90.1 & 89.7 & 95.3 & 91.7 & 93.5 \\
& $r$ & 96.0 & 93.8 & 94.9 & 96.6 & 91.5 & 94.0 \\
& $(h, r, t)$ & 89.7 & 89.5 & 89.6 & 93.4 & 90.1 & 91.8 \\
\midrule\multirow{3}{*}{SPN} & $(h, t)$ & 93.2 & 92.7 & 92.9 & 95.0 & 95.4 & 95.2 \\
& $r$ & 96.3 & 95.7 & 96.0 & 95.2 & 95.7 & 95.4 \\
& $(h, r, t)$ & 93.3 & 91.7 & 92.5 & 93.1 & 93.6 & 93.4 \\
\midrule\multirow{3}{*}{PRGC} & $(h, t)$ & \textbf{94.0} & 92.3 & 93.1 & 96.0 & 93.4 & 94.7 \\
& $r$ & 95.3 & 96.3 & 95.8 & 92.8 & 96.2 & 94.5 \\
& $(h, r, t)$ & \textbf{93.3} & 91.9 & 92.6 & 94.0 & 92.1 & 93.0 \\
\midrule\multirow{3}{*}{OneRel} & $(h, t)$ & 93.3 & \textbf{93.4} & \textbf{93.3} & \textbf{96.2} & \textbf{96.5} & \textbf{96.3}\\
& $r$ & \textbf{96.7} & \textbf{96.9} & \textbf{96.8} & \textbf{96.7} & \textbf{97.0} & \textbf{96.8} \\
& $(h, r, t)$ & 92.8 & \textbf{92.9} & \textbf{92.8} & \textbf{94.1} & \textbf{94.4} & \textbf{94.3} \\
\bottomrule[2pt]\end{tabular} | Could you please provide me the LaTeX code to generate this table? | Results on triple elements. $(h, t)$ denotes the entity pair and $r$ means the relation. | Please create a caption for this LaTeX table. |
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2203.05412v2_train__4d376895-4557-4e7b-8510-b4c65297b9d8 | 2203.05412v2 | \begin{tabular}{@{}ccccc@{}}\toprule[2pt]Dataset & Model & Training Time & Inference Time & F1 \\
\midrule\multirow{2}{*}{NYT$^*$} & TPLinker & 1592 & 46.2 & 91.9 \\
& OneRel & \textbf{1195} & \textbf{41.5} & \textbf{92.9} \\
\midrule\multirow{2}{*}{WebNLG$^*$} & TPLinker & 599 & \textbf{40.1} & 91.9 \\
& OneRel & \textbf{88} & 45 & \textbf{94.3} \\
\bottomrule[2pt]\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Comparison of the model efficiency. Training Time (s) means the time required to train one epoch, Inference Time (ms) is the time to predict triples of one sentence. | Please write a caption that describes this LaTeX table. |
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2202.01820v2_train__5fbac734-b0b4-4188-8ff8-412c0bc1b437 | 2202.01820v2 | \begin{tabular}{lccc}\hline
$T$ (MeV) & $k_2$ & $R$ (km) & $\lambda$ (10$^{36}$gr cm$^2$ s$^2$) \\
\hline
0.01 & 0.1005 & 12.21 & 2.73 \\
0.1 & 0.0984 & 12.26 & 2.73 \\
1 & 0.0788 & 12.82 & 2.73 \\
5 & 0.0315 & 15.48 & 2.79 \\
10 & 0.0127 & 18.92 & 3.02 \\
\hline
\end{tabular} | Provide LaTeX code for this table. | Values of radius and tidal parameters related to the temperature, for a $1.4\;M_\odot$ neutron star and for the Lattimer and Swesty EoSs~\cite{Lattimer-91 | Please give a caption for the LaTeX table. |
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2202.01820v2_train__527610d4-6c5f-4bca-8644-20283e3f9c42 | 2202.01820v2 | \begin{tabular}{ccccccc}\hline
\multirow{2}{*}{S ($\mathrm{k_B}$)} & \multicolumn{3}{c}{Shen {\it et al.}~\cite{Shen-2011}} & \multicolumn{3}{c}{Lattimer and Swesty~\cite{Lattimer-91}} \\
\cline{2-7}& $k_2$ & $R$ (km) & $\lambda$ (10$^{36}$gr cm$^2$ s$^2$) & $k_2$ & $R$ (km) & $\lambda$ (10$^{36}$gr cm$^2$ s$^2$) \\
\hline
0.1 & 0.0830 & 12.06 & 2.114 & 0.0817 & 12.10 & 2.114 \\
0.2 & 0.0835 & 12.05 & 2.119 & 0.0834 & 12.05 & 2.119 \\
0.5 & 0.0806 & 12.18 & 2.162 & 0.0814 & 12.16 & 2.161 \\
\hline
\end{tabular} | Create LaTeX code to produce this table. | Values of radius and tidal parameters related to the entropy, for a $1.4\;M_\odot$ neutron star and for both crust considerations (Shen \textit{et al. | I need a caption for this LaTeX table, please. |
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2310.04280v2_train__2d2f271d-5cd2-46af-a5f6-b8492e9d02c5 | 2310.04280v2 | \begin{tabular}{@{}clllll@{}}\hline
\\
& \textbf{OIL DRILLING} & : & ``oil-drilling'' ($82\%$) & ``gas-pipeline'' ($9\%$) & ``fracking'' ($7\%$)\\
[5pt]& \textbf{METAL}& : & ``metal'' ($46\%$) & ``ferrous'' ($37\%$) & ``nonferrous'' ($14\%$)\\
[5pt]& \textbf{WOOD}& : & ``wood'' ($64\%$) & ``timber'' ($27\%$) & ``lumber'' ($10\%$)\\
[5pt]& \textbf{MEAT}& : & ``meat'' ($49\%$) & ``red-meat'' ($18\%$) & ``poultry'' ($16\%$)\\
[5pt]& \textbf{MARIJUANA}& : & ``marijuana'' ($54\%$) & ``cannabis'' ($44\%$) & ``t.h.c.'' ($2\%$)\\
[5pt]\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Subset of MIS Commodities Industries | Please give a caption for the LaTeX table. |
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2310.04280v2_train__85885ddf-6ddb-4ad4-8549-4cac28485c05 | 2310.04280v2 | \begin{tabular}{@{}cllll@{}}\hline
\\
& \textbf{ONCOLOGY :} & ``oncology'' ($85\%$) & ``carcinoma'' ($10\%$) & ``lymphoma'' ($9\%$)\\
[5pt]& \textbf{MICROBIOLOGY :} & ``microbiology'' ($58\%$) & ``virology'' ($18\%$) & ``bacteriology'' ($15\%$)\\
[5pt]& \textbf{GENOMICS :} & ``genomics'' ($66\%$) & ``gene-editing'' ($23\%$) & ``d.n.a.'' ($10\%$)\\
[5pt]& \textbf{SURGERY :} & ``surgery'' ($72\%$) & ``organ-transplant'' ($17\%$) & ``orthopedics'' ($12\%$)\\
[5pt]& \textbf{CARDIOLOGY :} & ``cardiology'' ($65\%$) & ``heart-attack'' ($22\%$) & ``heart'' ($11\%$)\\
[5pt]\hline
\end{tabular} | Please create LaTeX code to produce this table. | Subset of MIS Healthcare Industries | I need a caption for this LaTeX table, please. |
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2310.04280v2_train__a21bdf3f-7992-4587-9a79-07a7d9dd9642 | 2310.04280v2 | \begin{tabular}{@{}cllll@{}}\hline
\\
& \textbf{A.I. :} & ``artificial-intelligence'' ($60\%$) & ``computer-vision'' ($23\%$) & ``n.l.p.'' ($15\%$)\\
[5pt]& \textbf{STREAMING :} & ``media-streaming'' ($49\%$) & ``television'' ($21\%$) & ``music-streaming'' ($14\%$)\\
[5pt]& \textbf{BLOCKCHAIN :} & ``blockchain'' ($56\%$) & ``cryptocurrency'' ($44\%$) & -\\
[5pt]& \textbf{ROBOTICS :} & ``robotics'' ($59\%$) & ``factory-automation'' ($31\%$) & -\\
[5pt]& \textbf{CAD :} & ``c.a.d.'' ($52\%$) & ``3d-print'' ($48\%$) & -\\
[5pt]\hline
\end{tabular} | Convert this table into LaTeX code. | Subset of MIS Tech Industries | May I have a caption for this LaTeX table? |
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2105.11622v2_train__a1ef0bc7-931b-470a-9281-ee280be0cacc | 2105.11622v2 | \begin{tabular}{cccccccccc}\hline
&&\multicolumn{8}{c}{\textbf{Year}} \\
&\%& 1994& 1999 & 2001 & 2002 & 2004 & 2006 & 2008 & 2010 \\
\cline{2-10}&Mass (Mt) & 0 & 2.3 & 4.2 & 5.1 & 6.9 & 8.4 & 10.1 & 12.0 \\
\hline
\label{tab:inject}\end{tabular} | Provide LaTeX code for this table. | The total amount of CO$_2$ injected volume along with the time | May I have a caption for this LaTeX table? |
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2202.08348v1_train__eb3a9d8c-18da-4a74-90fa-af91dd00d4ad | 2202.08348v1 | \begin{tabular}{ @{\extracolsep{3pt}} c c c c c c c c }\hline
\hline
\multicolumn{4}{c}{\textbf{Model}} &\multicolumn{2}{c}{\textbf{cycle6.10}} &\multicolumn{2}{c}{\textbf{ax54}} \\
\cline{1-4} \cline{5-6} \cline{7-8}${\bf \Sigma_{g,0}}$ &${\bf q}$ &${\bf a_p}$ &\textbf{\textbf{Flux}} &\textbf{\textbf{Loss}} &\textbf{\textbf{RMS}} &\textbf{\textbf{Loss}} &\textbf{\textbf{RMS}} \\
$[{\rm g/cm^2}]$ & $[M_{\oplus}/M_{\odot}]$ & [au] & [mJy] & & [$\mu{}$Jy/beam] & & [$\mu{}$Jy/beam]\\
% $[\rm{g}/\rm{cm^2}]$ & $[M_{\oplus}/M_{\odot}]$ &% [au] &% [mJy] &% [\%] &% [$\mu$Jy/beam] &% [\%] &% [$\mu$Jy/beam]% \\
\hline
300 & 1 & 2 & 69 &3.2\% & 11.2 &3.2\% & 8.4 \\
300 & 10 & 2 & 67 &2.6\% & 9.7 &3.4\% & 8.4 \\
300 & 1 & 3 & 97 &5.7\% & 9.9 &6.4\% & 8.3 \\
300 & 10 & 3 & 94 &5.6\% & 9.6 &6.5\% & 8.3 \\
300 & 1 & 5 & 142 &4.3\% & 9.5 &4.8\% & 8.4 \\
300 & 10 & 5 & 137 &16\% & 10.8 &15\% & 8.7 \\
100 & 1 & 2 & 42 &3.8\% & 9.7 &5.4\% & 8.4 \\
100 & 10 & 5 & 80 &25.1\% & 10.5 &21.7\% & 8.4 \\
2400 & 1 & 2 & 92 &2.2\% & 9.7 &2.4\% & 8.4 \\
2400 & 10 & 5 & 186 &12.0\% & 10.8 &10.4\% & 8.5 \\
\hline
\hline
\end{tabular} | Provide LaTeX code for this table. | \footnotesize{Total flux, flux loss with respect to the model flux and due to interferometric spatial filtering, and RMS noise for selected models, given an integration time of 8 hours and central wavelength of 0.88 mm. | Please write a caption that describes this LaTeX table. |
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2105.10728v1_train__82f813e0-2adb-4c67-9482-aa88deaa6805 | 2105.10728v1 | \begin{tabular}{ |c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\hline
& $m_h$[GeV]& $m_H[GeV]$ & $m_{H^{\pm}}$[GeV]& $m_A$[GeV] & $\tan\beta$ & $\cos \left(\beta-\alpha \right)$ & $m_{12}^2~GeV^2$ & $\lambda_1$ & $\lambda_2$ & $\lambda_3$ & $\lambda_4$ & $\lambda_5$ & $T_c$ & $\delta s/s[\%]$\\
\hline
BM1 & $125$ & $500$ & $500$ & $500$ & $2$ & $0$ & $10^5$ & $0.258$ & $0.258$ & $0.258$ & $0$ & $0$ & $ 161.36$ & $57$ \\
\hline
BM2 &" &" &" & " &" & $0.06$ & " &$1.14$ & $0.037$ & $0.63$ & $0$ & $0$ & $ 167.95$ & $59$ \\
\hline
BM3 & " & " & " & " & $10$ & $0$ & $24752.5$ & $0.258$ & $0.258$ & $0.258$ &$0$ & $0$ & $161.02$ & $56$\\
\hline
BM4 & "& " & " & " & $10$ & $0.1$ & $24752.5$ & $4.13$ & $0.22$ & $4.15$ & $0$ & $0$ & $255.71$ & $73$\\
\hline
BM5 & " & " & " & $485$ & $2$ & $0.0$ & $10^5$ & $0.26$ & $0.26$ & $0.26$ & $-0.244$ & $0.244$ & $161.53 $ & $57$\\
\hline
BM6 & " & " & " & $485$ & $2$ & $0.07$ & $10^5$ & $1.28$ & $0.002$ & $0.7$ & $-0.244$ & $0.244$ & $169.81 $ & $60$\\
\hline
BM7 & " & " & " & $477$ & $2$ & $0.07$ & $10^5$ & $1.28$ & $0.002$ & $0.7$ & $-0.37$ & $0.37$ & $169.53 $ & $60$ \\
\hline
BM8 & " & " & " & $485$ & $10$ & $0.0$ & $24752.5$ & $0.258$ & $0.258$ & $0.258$ & $-0.244$ & $0.244$ & $160.76 $ & $56$ \\
\hline
BM9 & " & " & " & $350$ & $10$ & $0.1$ & $24752.5$ & $4.13$ & $0.22$ & $4.15$ & $-2.1$ & $2.1$ & $209.87 $ & $68$ \\
\hline
BM10 & " & " & $485$ & $500$ & $2$ & $0.00$ & $10^5$ & $0.258$ & $.258$ & $-0.23$ & $0.49$ & $0$ & $153.27 $ & $53$ \\
\hline
BM11 & " & " & $485$ & $500$ & $2$ & $0.07$ & $10^5$ & $1.28$ & $0.002$ & $0.21$ & $0.49$ & $0$ & $169.28 $ & $60$ \\
\hline
BM12 & " & " & $485$ & $500$ & $10$ & $0.0$ & $24752.5$ & $0.258$ & $0.258$ & $-0.23$ & $0.49$ & $0$ & $160.51 $ & $56$ \\
\hline
BM13 & " & " & $485$ & $500$ & $10$ & $0.1$ & $24752.5$ & $4.13$ & $0.22$ & $3.66$ & $0.49$ & $0$ & $241.75 $ & $70$ \\
\hline
BM14 & " & " & $485$ & $485$ & $2$ & $0$ & $10^5$ & $0.258$ & $0.258$ & $-0.23$ & $0.24$ & $0.24$ & ${ 159.76 }$ & $59$ \\
\hline
BM15 & " & " & $485$ & $485$ & $2$ & $0.07$& $10^5$ & $1.28$ & $0.002$ & $0.21$ & $0.244$ & $0.244$ & ${ 168.61}$ & $59$ \\
\hline
BM16 & " & " & $485$ & $485$ & $10$ & $0$ & $24752.5$ & $0.258$ & $0.258$ & $-0.23$ & $0.244$ & $0.244$ &${ 160.19 }$ & $56$\\
\hline
BM17 &" & $485$ & $485$ & $485$ & $2$ & $0.0$ &$94090$ & $0.258$ & $0.258$ & $0.258$ & $0$ & $0$ &${ 161.31 }$ & $57$ \\
\hline
%BM1 & & & & & & & & & & & & &${ }$ \\
% \hline
BM18 & " & $485$ & $485$ & $485$ & $2$ & $0.07$ & $94090$ & $1.22$ & $0.02$ & $0.67$ & $0$ & $0$ & ${ 169.7 }$ & $60$ \\
\hline
BM19 & " & $485$ & $485$ & $485$ & $10$ & $0$ & $23289.6$ & $0.258$ & $0.258$ & $0.258$ & $0$ & $0$ & ${ 160.96}$ & $57$ \\
\hline
BM20 & " & $485$ & $485$ & $485$ & $10$ & $0.1$& $23289.6$ & $3.9$ & $0.22$ & $3.9$ & $0$ & $0$ & ${ 230.18 }$ & $70$ \\
\hline
BM21 & " & $485$ & $485$ & $500$ & $2$ & $0$ & $94090$ & $0.258$ & $0.258$ & $0.258$ & $0$ & $0$ & ${ 161.31}$ & $57$ \\
\hline
BM22 & " & $90$ & $200$ & $300$ & $2$ & $0$ & $3240$ & $0.258$ & $0.258$ & $1.31$ & $0.3$ & $-1.35$ & ${ 150.76 }$ & $51$ \\
\hline
BM23 & " & $90$ & $200$ & $300$ & $10$ & $0$ & $801.98$ & $0.258$ & $0.258$ & $1.31$ & $0.3$ & $-1.35$ & ${ 135.38 }$ & $37$ \\
\hline
BM24 & " & $90$ & $200$ & $300$ & $10$ & $0.2$ & $801.98$ & $0.263$ & $0.258$ & $1.06$ & $0.3$ & $-1.35$ & ${ 141.06 }$ & $42$ \\
\hline
%BM1 & " & $$ & $$ & $$ & $$ & $$ & $$ & $$ & $$ & $$ & $$ & $$ & ${ }$ \\
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | 2HDM Benchmark points for entropy production | May I have a caption for this LaTeX table? |
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2205.11603v3_train__94cdf3bb-73a2-4e1e-bac7-e1938f519152 | 2205.11603v3 | \begin{tabular}{ccccccccc}\toprule%\multicolumn{8}{c}{Average Rank}\\
%\midrule\# samples $\downarrow$ & STD++ & DA & WC & ReInit & R3F & \cnrt & \cprt \\
\midrule%\midrule%\multicolumn{8}{c}{250 Training datapoints}\\
%\midrule250 & 5.62 & 4.92 & 4.62 & 3.00 & 4.04 & {\bf 2.50} & 3.31 \\
% & Mean-unfiltered & 67.61 & 73.21 & 75.76 & {\bf 77.05} & 72.57 & 76.66 & 76.26 \\
%& Average Rank-unfiltered & 6.54 & 4.85 & 3.46 & 2.92 & 4.62 & {\bf 2.54} & 3.08 \\
%\midrule%\multicolumn{8}{c}{500 Training datapoints}\\
%\midrule500 & 6.08 & 4.38 & 3.69 & 3.31 & 4.85 & {\bf 2.77} & 2.92 \\
%& Mean-unfiltered & 67.61 & 73.21 & 75.76 & {\bf 77.05} & 72.57 & 76.66 & 76.26 \\
%&Average Rank-unfiltered & 6.54 & 4.85 & 3.46 & 2.92 & 4.62 & {\bf 2.54} & 3.08 \\
%\midrule%\midrule%\multicolumn{8}{c}{1000 Training Datapoints}\\
%\midrule1000 & 5.69 & 4.00 & 3.62 & 3.54 & 4.62 & {\bf 2.69} & 3.85 \\
%& Mean-unfiltered & 69.8 & 75.02 & 78.52 & 79.0 & 74.38 & {\bf 79.61} & 78.54 \\
%& Average Rank-unfiltered & 6.0 & 4.54 & 3.23 & 3.54 & 4.77 & {\bf 2.15} & 3.77 \\
\bottomrule\end{tabular} | I need the LaTeX code to create this table, please. | Average rank of different methods for few-shot learning. \cnrt: \concort, \cprt: \capcort. | May I have a caption for this LaTeX table? |
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2108.02400v1_train__8cf804e7-d4ac-422a-ade5-548b59c8858a | 2108.02400v1 | \begin{tabular}{cccccc} \hline
B{3}\textbf{\textit{Key size}} & \textbf{\textit{Error}}& \multicolumn{2}{c}{\textbf{\textit{OU-ISIR}}} & \multicolumn{2}{c}{\textbf{\textit{whuGAIT}}} \\
(bits)&\textit{\textbf{Tolerability}}& $FAR (\%)$ & $FRR (\%)$& $FAR (\%)$ & $FRR (\%)$\\
\hline
B{2}% $99$ & $23$ & $0.004$ & $2.083$ \\
%\hline
% $107$ & $22$ & $0.003$ & $2.083$ \\
%\hline
$115$ & $21$ & $0.001$ & $2.083$ &$0.022$ & $2.177$ \\
%\hline
$123$ & $19$ & $0$ & $4.167$ &$0.005$ & $2.66$ \\
%\hline
$131$ & $18$ & $0$ & $4.167$ &$0$ & $3.265$\\
%\hline
$139$ & $15$ & $0$ & $4.167$ &$0$ & $5.441$\\
%\hline
$147$ & $14$ & $0$ & $6.25$ &$0$ & $6.771$\\
\hline
B{3}\end{tabular} | Write the LaTeX code for this table. | Performances at different key sizes when using BCH code of length $255$ and symbol size $\phi=2$. | Please create a caption for this LaTeX table. |
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2108.02400v1_train__7d64def5-c21f-43c4-81d8-88943a647137 | 2108.02400v1 | \begin{tabular}{ccccccc} \hline
B{3}\multirow{2}{*}{\textbf{\textit{Study}}} & \textbf{\textit{Data}}&\multirow{2}{*}{\textbf{\textit{Key size}}} & \multirow{2}{*}{\textbf{\textit{Performance}}} & \multirow{2}{*}{\textbf{\textit{R}}} &\multirow{2}{*}{\textbf{\textit{I}}}& \multirow{2}{*}{\textbf{\textit{U}}} \\
&\textbf{\textit{Length}}& &&&& \\
\hline
B{2}%Hoang \textit{et al.} & \multirow{2}{*}{$16$ cycles} & \multirow{2}{*}{$139$ bits}&FAR: $0\%$ &\multirow{2}{*}{$-$}&\multirow{2}{*}{$-$}&\multirow{2}{*}{$-$}\\
%\hline
2015 \cite{hoang2015gait} &&&FRR: $16.18\%$&&&\\
\hline
%%Tran \textit{et al.} & \multirow{2}{*}{$26$ cycles}& \multirow{2}{*}{$148$ bits}&FAR: $6\times 10^{-5}\%$ &\multirow{2}{*}{$-$}&\multirow{2}{*}{$-$}&\multirow{2}{*}{$-$}\\
%\hline
2017 \cite{tran2017improving} &&&FRR: $9.2\%$&&&\\
\hline
% 12 templates, each one has 4 cycles, overlapped 50%%%\multirow{4}{*}{This study} & \multirow{4}{*}{$5$ cycles}&\multirow{2}{*}{$139$ bits} & FAR: $0\%$ &\multirow{4}{*}{Yes}&\multirow{4}{*}{Yes}&\multirow{4}{*}{Yes}\\
&&&FRR: $5.56\%$&&&\\
&& \multirow{2}{*}{$147$ bits} & FAR: $0\%$ &&&\\
&&&FRR: $7.64\%$&&&\\
\hline
B{3}\end{tabular} | Provide LaTeX code for this table. | A comparison on different factors between our model and existing gait cryptosystems, where R, I, and U mean Revocability, Irreversibility, and Unlinkability, respectively. | Could you provide a caption for this LaTeX table? |
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2202.10992v2_train__1b24c634-0e1b-4119-86d3-338314f99532 | 2202.10992v2 | \begin{tabular}{rlll}\toprule&Empirical&\multicolumn{2}{c}{95\% CI}\\
\cline{3-4}$q$ & coverage & Lower & Upper \\
\midrule0.01 & 0.953 & 0.949 & 0.957 \\
0.10 & 0.949 & 0.944 & 0.953 \\
0.25 & 0.950 & 0.946 & 0.955 \\
0.50 & 0.949 & 0.945 & 0.954 \\
\hline
\end{tabular} | Please generate the necessary LaTeX script to draw this table. | Empirical coverage rate for the confidence intervals produced by Algorithm \ref{poi-bootstrap-two-sample-fast | Could you provide a caption for this LaTeX table? |
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2202.10992v2_train__6e69052c-a541-49d4-81e7-d605623439cc | 2202.10992v2 | \begin{tabular}{r|llll}&Min time&Median time &Max time & Memory usage \\
\hline
Algorithm \ref{poi-bootstrap-two-sample}& 1726 ms&1821ms &1902ms&2.39 GiB\\
Algorithm \ref{poi-bootstrap-two-sample-fast} & 2.055ms & 2.214ms&3.502ms & 407.08 KiB \\
\hline
\end{tabular} | Generate the LaTeX code to recreate this table. | Time and mempry consumption comparison between a standard Poisson bootstrap algorithm (Algorithm \ref{poi-bootstrap-two-sample | Please provide an appropriate caption for this LaTeX table. |
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2112.05818v1_train__fcc0e61b-8e91-4c27-b7fa-af7b3973969f | 2112.05818v1 | \begin{tabular}{|l|l|l|l|l|l|l|l|}\hline
\multirow{2}{*}{Benchmark} & \multirow{2}{*}{Method} & \multicolumn{3}{l|}{Simulation IIA} & \multicolumn{3}{l|}{Simulation IIB} \\
\cline{3-8}& & $\sigma_\mu$=0 & $\sigma_\mu$=0.4 & $\sigma_\mu$=0.6 & $\sigma_\mu$=0 & $\sigma_\mu$=0.4 & $\sigma_\mu$=0.6 \\
\hline
\multirow{8}{*}{Power and type I error} & MANOVA & 0.35 & 0.53 & 0.85 & 0.78 & 0.78 & 0.94 \\
\cline{2-8}& aSPU.ind & 0.05 & 0.42 & 0.67 & 0.05 & 0.45 & 0.69 \\
\cline{2-8}& aSPU.ex & 0.05 & 0.41 & 0.67 & 0.05 & 0.44 & 0.7 \\
\cline{2-8}& TATES & 0.05 & 0.12 & 0.32 & 0.05 & 0.12 & 0.32 \\
\cline{2-8}& minP & 0.05 & 0.33 & 0.84 & 0.05 & 0.77 & 0.97 \\
\cline{2-8}& Fisher & 0.05 & 0.43 & 0.86 & 0.05 & 0.71 & 0.88 \\
\cline{2-8}& AFz & 0.05 & 0.39 & 0.89 & 0.05 & 0.77 & 0.97 \\
\cline{2-8}& AFp & 0.05 & 0.42 & 0.9 & 0.05 & 0.77 & 0.96 \\
\hline
\multirow{2}{*}{Sensitivity} & AFz & - & 0.39 & 0.57 & - & 0.18 & 0.2 \\
\cline{2-8}& AFp & - & 0.45 & 0.72 & - & 0.48 & 0.76 \\
\hline
\multirow{2}{*}{Specificity} & AFz & - & 0.92 & 0.97 & - & 0.97 & 0.99 \\
\cline{2-8}& AFp & - & 0.86 & 0.9 & - & 0.9 & 0.91 \\
\hline
\end{tabular} | I need the LaTeX code to create this table, please. | The result of Simulation IIA and IIB. For $\sigma_\mu=0$, type I error is shown and since there is no association between genes and phenotypes (i.e., true weights are all 0), sensitivity and specificity of weight estimation is omitted. For $\sigma_\mu=0.6$ and 0.8, power, sensitivity and specificity are shown. | Can you suggest a caption for this LaTeX table? |
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2206.03857v1_train__4721e3ce-8fe7-40cd-b413-96d973245699 | 2206.03857v1 | \begin{tabular}{|l||ccc|c|c||ccc|c|c|}\hline
& & bids & & VCG & VCG-nearest & & bids$'$ & & VCG$'$ & VCG-nearest$'$\\
& $\{1\}$ & $\{2\}$ & $\{1,2\}$ & & & $\{1\}$ & $\{2\}$ & $\{1,2\}$ & &\\
\hline
\hline
Bidder \#1 & $4^*$ & & & 2 & 3 & $4^*$ &&& 3 & 3.5\\
Bidder \#2 & &$4^*$& 5 & 2 & 3 & &$4^*$& \textbf{7} & 2 & 2.5\\
Bidder \#3 & 2 & 2 & 6 & 0 & 0 & 2 & 2 & 6 & 0 & 0\\
\hline
\end{tabular} | Create LaTeX code to produce this table. | Auction where 3 bidders are bidding on 2 goods. Winning bids are marked with an $^*$. Bidder 2 increases his bid on a non-winning bundle (marked in bold), which decreases his payment on his winning bundle, while the allocation remains constant. | Please write a caption that describes this LaTeX table. |
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2206.03857v1_train__aadc36ad-4f20-4eb6-9bbe-d58cc0a24952 | 2206.03857v1 | \begin{tabular}{|l||c|c|c|c||c|c|c|}\hline
& bundle of interest & bid & VCG & VCG-nearest & bid$'$ & VCG$'$ &VCG-nearest$'$\\
\hline
\hline
Bidder \#1 & $\{1\}$ & 5 & 2 & $37 / 12$ & 5 & 1 & $36 / 12$ \\
Bidder \#2 & $\{2\}$ & 5 & 0 & $16 / 12$ & 5 & 0 & $18 / 12$ \\
Bidder \#3 & $\{3\}$ & 4 & 1 & $37 / 12$ & \textbf{5} & 1 & $36 / 12$ \\
Bidder \#4 & $\{4\}$ & 1 & 0 & $\phantom{0} 7 / 12$ & 1 & 0 & $\phantom{0} 6 / 12$ \\
Bidder \#5 & $\{5\}$ & 1 & 0 & $\phantom{0} 7 / 12$ & 1 & 0 & $\phantom{0} 6 / 12$ \\
Bidder \#6 & $\{6\}$ & 1 & 0 & $10 / 12$ & 1 & 0 & $12 / 12$ \\
Bidder \#7 & $\{1,2,4\}$ & 5 & & $ $ & 5 & & $ $ \\
Bidder \#8 & $\{2,3,5\}$ & 5 & & $ $ & 5 & & $ $ \\
Bidder \#9 & $\{1,3,6\}$ & 7 & & $ $ & 7 & & $ $ \\
Bidder \#10 & $\{4,5,6\}$ & 2 & & $ $ & 2 & & $ $ \\
Bidder \#11 & $\{2,3,4\}$ & 5 & & $ $ & 5 & & $ $ \\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | Auction where 11 single-minded bidders are bidding on 6 goods. We show VCG and VCG-nearest payments for each bidder. If bidder 3 increases his bid (marked in bold), this decreases bidder 1's VCG payment, which in turn decreases bidder 3's VCG-nearest payment. | Could you provide a caption for this LaTeX table? |
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2307.07487v1_train__57736a2a-410a-414d-bf4b-43eb5e9fe475 | 2307.07487v1 | \begin{tabular}{lcccc}\hline
& LSUN & FFHQ & ImagetNet & BDD100K \\
\hline
resolution & 256x256 & 256x256 & 256x256 & 128x256 \\
diffusion steps & 1000 & 1000 & 1000 & 1000 \\
noise Schedule & linear & linear & linear & linear \\
channels & 256 & 256 & 256 & 128 \\
depth & 2 & 2 & 2 & 2 \\
channels multiple & 1,1,2,2,4,4 & 1,1,2,2,4,4 & 1,1,2,2,4,4 & 1,1,2,2,3,4 \\
heads Channels & 64 & 64 & 64 & 32 \\
attention resolution & 32,16,8 & 32,16,8 & 32,16,8 & 16,8 \\
dropout & 0.1 & 0.1 & 0.0 & 0.0 \\
batch size & 256 & 256 & 256 & 256 \\
learning rate & 1e-4 & 1e-4 & 1e-4 & 1e-4 \\
\hline
\end{tabular} | Convert this table into LaTeX code. | %\textbf{Hyperparameters for diffusion models used in the paper. | Could you generate a caption for this LaTeX table? |
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2307.07487v1_train__6d58dbfe-b92b-4040-9121-5e5163cc1d01 | 2307.07487v1 | \begin{tabular}{lcccc}\hline
& LSUN & FFHQ & ImagetNet & BDD100K \\
\hline
resolution & 256x256 & 256x256 & 256x256 & 128x256/512x1024 \\
noise steps & 50 & 50 & 150 & 50 \\
optimizer & AdamW & AdamW & LAMB & AdamW \\
base learning rate & 4e-3 & 4e-3 & 4e-3 & 4e-3 \\
weight decay & 0.05 & 0.05 & 0.05 & 0.05 \\
optimizer momentum & $\beta_1,\beta_2=0.9,0.95$ & $\beta_1,\beta_2=0.9,0.95$ & $\beta_1,\beta_2=0.9,0.95$ & $\beta_1,\beta_2=0.9,0.95$ \\
batch size & 256 & 256 & 2048 & 256 \\
training epochs & 100 & 100 & 200 & 600 \\
learning rate schedule & cosine decay & cosine decay & cosine decay & cosine decay \\
warmup epochs & 20 & 20 & 30 & 30 \\
augmentation & horizontal flip & horizontal flip & horizontal flip & horizontal flip \\
\hline
\end{tabular} | Create a LaTeX script to illustrate this table. | %\textbf{Hyperparameters for pre-training the image backbones. | Please provide an appropriate caption for this LaTeX table. |
|
2307.07487v1_train__a4d5469d-b4ac-4c56-a9ca-a3aa67abec57 | 2307.07487v1 | \begin{tabular}{l|c|c|c|c|c|c|c|c}method & backbone & params & pre-data & Bedroom-28 & FFHQ-34 & Cat-15 & Horse-21 & Car-20\\
\hline
classific. sup. & RN101 & 43M & IN1k-1M & 34.4 & 53.6 & 38.8 & 51.1 & 55.9\\
classific. sup. & ConvNX-B & 89M & IN21k-14M & 41.0 & 59.2 & 47.3 & 56.0 & 59.3\\
classific. sup. & Swin-L & 197M & IN21k-14M & 42.3 & 57.3 & 47.6 & 57.7 & 59.4\\
\hline
DatasetGAN\cite{zhang2021datasetgan} & RN101 & 43M & task domains & 31.3 & 57.0 & 36.5 & 45.4 & 68.4 \\
DatasetDDPM\cite{baranchuk2021labelefficient} & RN101 & 43M & task domains & 47.9 & 56.0 & 47.6 & 60.8 & -\\
DDPM-seg\cite{baranchuk2021labelefficient} & UNet & 554M & task domains & 49.4 & 59.1 & 53.7 & 65.0 & -\\
\hline
DT-mix.distil. (ours)& RN101 & 43M & task domains& 49.9 & 59.4 & 56.7 & 65.9 & -\\
DT-mix.distil. (ours)& ConvNX-B & 89M & task domains& \textbf{54.8} & \textbf{61.2} & \textbf{58.6} & \textbf{67.6} & ?\\
\hline
DDPM-seg(our interp.) & UNet & 554M & task domains & 49.8 & 60.1 & 57.6 & 64.0 & 75.4\\
DDPM-seg(our interp.) & UNet & 554M & IN1k-1M & 36.1 & 59.2 & 49.8 & 56.6 & 69.9\\
\end{tabular} | Create LaTeX code to produce this table. | \textbf{Label-efficient semantic segmentation benchmark. | Can you give me a caption for this LaTeX table? |
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2012.07246v1_train__41a4784a-7be3-4b2c-b3f3-269719c009d6 | 2012.07246v1 | \begin{tabular}{c c c c c c c}\hline
\multicolumn{1}{|p{2cm}|}{\centering Simulation} & \multicolumn{1}{|p{2cm}|}{\centering Total \\
Smoke (Mg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
9 km (Mg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
9 km (\%)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
12 km (Mg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
12 km (\%)} & \multicolumn{1}{|p{2cm}|}{\centering Total Error (\%)} \\
\hline
Base\_2 & 3.2E3 & 296.1 & 9.25 & 6.6 & 0.21 & 2.45 \\
CalmWi\_2 & 3.4E3 & 504.1 & 15.03 & 43.3 & 1.29 & -2.26 \\
MidWi\_2 & 4.1E3 & 67.2 & 1.64 & 0.5 & 0.01 & -4.27 \\
HiWi\_2 & 4.8E3 & 0.6 & 0.01 & 0.0 & 0.00 & -1.13 \\
Shear\_2 & 3.2E3 & 279.6 & 8.71 & 6.9 & 0.22 & 2.39 \\
M50\_2 & 3.3E3 & 699.4 & 21.17 & 37.3 & 1.13 & 1.20 \\
MR25\_2 & 4.0E3 & 287.7 & 7.23 & 4.3 & 0.11 & -3.12 \\
MR50\_2 & 3.5E3 & 518.3 & 14.77 & 33.6 & 0.96 & 2.14 \\
MR75\_2 & 3.2E3 & 987.9 & 30.79 & 222.6 & 6.94 & 2.21 \\
Stable\_2 & 3.2E3 & 102.2 & 3.16 & 4.0 & 0.12 & 2.34 \\
\hline
\end{tabular} | Write the LaTeX code for this table. | Smoke generation, upper atmosphere and stratospheric smoke lofting, with the 2-km radius ignition area. Negative error values indicate an overestimation of total smoke in the atmosphere, compared with actual smoke generation at the surface, while positive values indicate an underestimation. | Please create a caption for this LaTeX table. |
|
2012.07246v1_train__748bdfd9-5343-47db-ba6e-de3d9627ef32 | 2012.07246v1 | \begin{tabular}{c c c c c c c}\hline
\multicolumn{1}{|p{2cm}|}{\centering Simulation} & \multicolumn{1}{|p{2cm}|}{\centering Total \\
Smoke (kg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
9 km (kg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
9 km (\%)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
12 km (kg)} & \multicolumn{1}{|p{2cm}|}{\centering Smoke above \\
12 km (\%)} & \multicolumn{1}{|p{2cm}|}{\centering Total Error (\%)} \\
\hline
Base\_4 & 1.3E4 & 394.0 & 3.02 & 103.5 & 0.79 & 0.56 \\
CalmWi\_4 & 1.3E4 & 779.2 & 6.13 & 129.6 & 1.02 & 2.80 \\
MidWi\_4 & 1.4E4 & 388.9 & 2.43 & 18.6 & 0.13 & -1.62 \\
HiWi\_4 & 1.5E4 & 576.6 & 3.92 & 56.7 & 0.39 & -1.58 \\
Shear\_4 & 1.3E4 & 682.7 & 5.09 & 124.2 & 0.93 & -1.71 \\
M50\_4 & 1.3E4 & 1921.6 & 14.37 & 134.16 & 1.00 & -1.84 \\
MR25\_4 & 1.3E4 & 780.2 & 5.93 & 77.0 & 0.59 & 2.14 \\
MR50\_4 & 1.3E4 & 1972.6 & 14.76 & 235.2 & 1.76 & 0.54 \\
MR75\_4 & 1.3E4 & 2642.5 & 19.79 & 349.3 & 2.62 & -1.75 \\
Stable\_4 & 1.3E4 & 251.7 & 1.95 & 99.1 & 0.77 & 1.49 \\
\hline
\end{tabular} | Convert this table into LaTeX code. | Smoke generation, upper atmosphere and stratospheric smoke lofting, with the 4-km radius ignition area. Negative error values indicate an overestimation of total smoke in the atmosphere, compared with actual smoke generation at the surface, while positive values indicate an underestimation. | I need a caption for this LaTeX table, please. |
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2304.08753v1_train__627fefee-a16c-45d4-96fc-9b27ccad76de | 2304.08753v1 | \begin{tabular}{l|c|c}\hline
Lattice size &$\beta$ &$\sigma_a/\sigma_F$ \\
\hline
$12^4$ & 5.6& 0.87(13)\\
\hline
$16^4$ & 5.6& 1.05(9)\\
\hline
$12^4$ &5.7& 0.91(8)\\
\hline
$12^4$&5.8& 1.01(11)\\
\hline
\end{tabular} | Could you please provide me the LaTeX code to generate this table? | The ratio of the Abelian and the non-Abelian string tensions $\sigma_a/\sigma_F$ determined by applying the multilevel method in the Wilson action. The data are cited from Ref.\cite{IHS:202207 | Could you provide a caption for this LaTeX table? |
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