Commit a63f1ece by Zidong Du

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parent ea724cc3
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......@@ -29,8 +29,7 @@ emerging high compositional symbolic language.
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\centering \includegraphics[width=0.99\columnwidth]{fig/Figure6_Compostionality_of_symbolic_language.pdf}
\caption{Compositionality of symbolic language under different parameters
(mean value with variation $[\mu-\sigma,\mu+\sigma]$).}
\label{fig:exp1}
......@@ -49,7 +48,7 @@ emerge in a natural referential game.
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\includegraphics[width=0.99\columnwidth]{fig/Figure7_The_ratio_of_high_compositional_language.pdf}
\caption{The ratio of high compositional language. (a) $h_{size}>0.99$. (b) $h_{size}>0.9$}
\label{fig:exp2}
\end{figure}
......@@ -67,19 +66,22 @@ Figure~\ref{fig:bench}.
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\includegraphics[width=0.8\columnwidth]{fig/Figure8_Three_artificial_languages_with_different_MIS.pdf}
\caption{Three pre-defined language for teaching. (a) LA: high compositionality
($MIS=1$). (b) LB: mediate compositionality ($MIS=0.83$). (c) LC: low compositionality ($MIS=0.41$).}
\label{fig:bench}
\end{figure}
\begin{figure}[t]
\begin{figure*}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\caption{}
\includegraphics[width=1.99\columnwidth]{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}
\end{figure*}
%\begin{figure}[t]
......
......@@ -52,8 +52,8 @@ circle''.
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\caption{\rmk{The architecture of agents. \emph{Left:} speaker. \emph{Right:} listener.}}
\includegraphics[width=0.9\columnwidth]{fig/occupy.pdf}
\caption{The architecture of agents. \emph{Left:} speaker. \emph{Right:} listener.}
\label{fig:agents}
\end{figure}
......
......@@ -5,7 +5,7 @@ MIS is the similarity between an identity matrix and the mutual information matr
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\includegraphics[width=0.99\columnwidth]{fig/Figure4_The_information_channel.pdf}
\caption{The information channel modeling of the agents in the referential game.}
\label{fig:modeling}
\end{figure}
......@@ -51,7 +51,7 @@ MIS &= \frac{n\cdot MIS_0 - 1}{n-1}
\begin{figure}[t]
\centering
\includegraphics[width=0.9\columnwidth]{fig/occupy}
\includegraphics[width=0.9\columnwidth]{fig/Figure5_An_emergent_language.pdf}
\caption{An emergent language that the unilateral metrics cannot measure its non-compositionality. Notice that when $s_1 = \mathrm{a}$, the listener can neither determine the shape nor the color without the knowledge about $s_0$.}
\label{fig:unilateral}
\end{figure}
......
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