Added comparison to LeNet with MNIST

main.tex

@@ -431,15 +431,24 @@ We solve this problem by decoupling the gradient averaging from the weight avera
      
 
 
-     \begin{figure}[htbp]
-     \centering
-
+\begin{figure}[htbp]
+     \centering     
+              \begin{subfigure}[htb]{0.7\textwidth}
 % To regenerate the figure, from directory results/mnist
-% python ../../../learn-topology/tools/plot_convergence.py fully-connected-cliques/all/2021-03-10-10:19:44-CET no-init-no-clique-avg/fully-connected-cliques/all/2021-03-12-11:12:49-CET  random-10/all/2021-03-17-20:28:12-CET  random-10-diverse/all/2021-03-17-20:28:35-CET --labels 'd-clique (fcc)' 'd-clique (fcc) no clique avg. no uniform init.' '10 random edges' '10 random edges (all classes represented)' --add-min-max --legend 'lower right' --ymin 88 --ymax 92.5 --yaxis test-accuracy --save-figure ../../figures/d-cliques-mnist-linear-comparison-to-non-clustered-topologies.png
+% python ../../../learn-topology/tools/plot_convergence.py fully-connected-cliques/all/2021-03-10-10:19:44-CET no-init-no-clique-avg/fully-connected-cliques/all/2021-03-12-11:12:49-CET  random-10/all/2021-03-17-20:28:12-CET  random-10-diverse/all/2021-03-17-20:28:35-CET random-10-diverse-unbiased-grad/all/2021-03-17-20:29:04-CET --labels 'd-clique (fcc)' 'd-clique (fcc) no clique avg. no uniform init.' '10 random edges' '10 random edges (all classes represented)' '10 random edges (all classes repr.) with unbiased grad.' --add-min-max --legend 'lower right' --ymin 88 --ymax 92.5 --yaxis test-accuracy --save-figure ../../figures/d-cliques-mnist-linear-comparison-to-non-clustered-topologies.png
          \centering
-         \includegraphics[width=0.6\textwidth]{figures/d-cliques-mnist-linear-comparison-to-non-clustered-topologies}
-         \caption{\label{fig:d-cliques-mnist-linear-comparison-to-non-clustered-topologies} MNIST: Comparison to non-Clustered Topologies}
-        \end{figure}
+         \includegraphics[width=\textwidth]{figures/d-cliques-mnist-linear-comparison-to-non-clustered-topologies}
+                  \caption{\label{fig:d-cliques-mnist-linear-comparison-to-non-clustered-topologies} Linear Model}
+                 \end{subfigure}
+         
+              \begin{subfigure}[htb]{0.7\textwidth}
+% To regenerate the figure, from directory results/mnist/gn-lenet
+% python ../../../../learn-topology/tools/plot_convergence.py no-init/all/2021-03-22-21:39:54-CET no-init-no-clique-avg/all/2021-03-22-21:40:16-CET random-10/all/2021-03-22-21:41:06-CET random-10-diverse/all/2021-03-22-21:41:46-CET random-10-diverse-unbiased-grad/all/2021-03-22-21:42:04-CET --legend 'lower right' --add-min-max --labels 'd-clique (fcc) clique avg.' 'd-clique (fcc) no clique avg.' '10 random edges' '10 random edges (all classes repr.)' '10 random edges (all classes repr.) with unbiased grad.' --ymin 80 --yaxis test-accuracy --save-figure ../../../figures/d-cliques-mnist-lenet-comparison-to-non-clustered-topologies.png
+         \includegraphics[width=\textwidth]{figures/d-cliques-mnist-lenet-comparison-to-non-clustered-topologies}
+         \caption{\label{fig:d-cliques-mnist-lenet-comparison-to-non-clustered-topologies} LeNet Model}
+        \end{subfigure}
+         \caption{\label{fig:d-cliques-mnist-comparison-to-non-clustered-topologies} MNIST: Comparison to non-Clustered Topologies}
+\end{figure}
         
         
             \begin{figure}[htbp]
@@ -586,9 +595,9 @@ In addition, it is important that all nodes are initialized with the same model
 
 \begin{itemize}
   \item Test MNIST avec gn-lenet
-  \item Enlever les mentions à l'initialisation uniforme
   \item Plot Scattering (Citer l'article décentralisé)
   \item Test topology en n-log n https://dl.acm.org/doi/10.1145/335305.335325
+  \item Enlever les mentions à l'initialisation uniforme
 \end{itemize}