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AAAI2021/tex/experiments.tex

@@ -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]

AAAI2021/tex/theory.tex

@@ -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}
 

AAAI2021/tex/theory2.tex

@@ -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}