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Commit 9b087513 authored by Erick Lavoie's avatar Erick Lavoie
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Added fractal-cliques results for MNIST

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figures/d-cliques-mnist-scaling-fractal-cliques-cst-updates.png

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figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png

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figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png

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figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png
figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png
figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png
figures/d-cliques-mnist-scaling-fully-connected-cst-bsz.png
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figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png

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figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png

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figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png
figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png
figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png
figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png
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......@@ -312,13 +312,21 @@ We solve this problem by decoupling the gradient averaging from the weight avera
% \end{subfigure}
% To regenerate the figure, from directory results/scaling
% python ../../../learn-topology/tools/plot_convergence.py 10/mnist/fully-connected-cliques/all/2021-03-12-09:13:27-CET ../mnist/fully-connected-cliques/all/2021-03-10-10:19:44-CET 1000/mnist/fully-connected-cliques/all/2021-03-12-09:13:28-CET --labels '10 nodes bsz=1280' '100 nodes bsz=128' '1000 nodes bsz=13' --legend 'lower right' --yaxis test-accuracy --save-figure ../../figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png --ymin 80 --add-min-max
% python ../../../learn-topology/tools/plot_convergence.py 10/mnist/fully-connected-cliques/all/2021-03-12-09:13:27-CET ../mnist/fully-connected-cliques/all/2021-03-10-10:19:44-CET 1000/mnist/fully-connected-cliques/all/2021-03-14-17:56:26-CET --labels '10 nodes bsz=1280' '100 nodes bsz=128' '1000 nodes bsz=13' --legend 'lower right' --yaxis test-accuracy --save-figure ../../figures/d-cliques-mnist-scaling-fully-connected-cst-updates.png --ymin 80 --add-min-max
\begin{subfigure}[b]{0.7\textwidth}
\centering
\includegraphics[width=\textwidth]{figures/d-cliques-mnist-scaling-fully-connected-cst-updates}
\caption{Fully-Connected}
\end{subfigure}
% To regenerate the figure, from directory results/scaling
% python ../../../learn-topology/tools/plot_convergence.py 10/mnist/clique-ring/all/2021-03-13-18:22:01-CET ../mnist/fully-connected-cliques/all/2021-03-10-10:19:44-CET 1000/mnist/fractal-cliques/all/2021-03-14-17:41:59-CET --labels '10 nodes bsz=1280' '100 nodes bsz=128' '1000 nodes bsz=13' --legend 'lower right' --yaxis test-accuracy --save-figure ../../figures/d-cliques-mnist-scaling-fractal-cliques-cst-updates.png --ymin 80 --add-min-max
\begin{subfigure}[b]{0.7\textwidth}
\centering
\includegraphics[width=\textwidth]{figures/d-cliques-mnist-scaling-fractal-cliques-cst-updates}
\caption{Fractal}
\end{subfigure}
% To regenerate the figure, from directory results/scaling
......@@ -332,9 +340,7 @@ We solve this problem by decoupling the gradient averaging from the weight avera
\caption{\label{fig:d-cliques-mnist-scaling-fully-connected} MNIST: D-Clique Scaling Behaviour (Constant Updates per Epoch)}
\end{figure}
Show scaling effect for 10, 100, 1000 nodes (with decreasing sample sizes) for Clique Ring, Hierarchical, Fully-Connected.
(Smallworld?)
Show scaling effect for 10, 100, 1000 nodes (with decreasing sample sizes) for Clique Ring, Fractal, Fully-Connected.
Robustness to not having fully-connected cliques (static and dynamic subsets).
......
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