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AAAI21_Emergent_language
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haoyifan
AAAI21_Emergent_language
Commits
af2d112a
Commit
af2d112a
authored
Sep 10, 2020
by
Ruizhi Chen
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Update experiments.tex
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AAAI2021/tex/experiments.tex
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af2d112a
...
...
@@ -3,6 +3,7 @@
%\label{ssec:exp}
\begin{figure}
[t]
\centering
\includegraphics
[width=0.99\columnwidth]
{
fig/Figure7
_
The
_
ratio
_
of
_
high
_
compositional
_
language.pdf
}
\caption
{
The ratio of high compositional language. (a)
$
MIS>
0
.
99
$
. (b)
...
...
@@ -10,6 +11,16 @@
\label
{
fig:exp2
}
\end{figure}
\begin{figure*}
[t]
\centering
\includegraphics
[width=\textwidth]
{
fig/Figure9.pdf
}
\caption
{
Accuracy of Listeners when varying
$
h
_{
size
}$
from 1 to 8. Each curve
represents an average accuracy trend from 50 repeated training, with the
range of [
$
\mu
-
\sigma
$
,
$
\mu
+
\sigma
$
], where
$
\mu
$
is the average
accuracy and
$
\sigma
$
is the standard deviation.
}
\label
{
fig:exp3
}
\end{figure*}
%\begin{figure}[t]
% \centering
% \includegraphics[width=0.99\columnwidth]{fig/Figure10_p_value.pdf}
...
...
@@ -57,6 +68,7 @@
\end{figure}
\section
{
Experiments
}
\label
{
sec:exp
}
...
...
@@ -118,15 +130,7 @@ capacity.
\begin{figure*}
[t]
\centering
\includegraphics
[width=\textwidth]
{
fig/Figure9.pdf
}
\caption
{
Accuracy of Listeners when varying
$
h
_{
size
}$
from 1 to 8. Each curve
represents an average accuracy trend from 50 repeated training, with the
range of [
$
\mu
-
\sigma
$
,
$
\mu
+
\sigma
$
], where
$
\mu
$
is the average
accuracy and
$
\sigma
$
is the standard deviation.
}
\label
{
fig:exp3
}
\end{figure*}
%\begin{figure}[t]
...
...
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