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| author | nunzip <np.scarh@gmail.com> | 2019-03-08 19:21:44 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2019-03-08 19:21:44 +0000 |
| commit | 3adb475617e8dd8e53335e834083e6c5348110a5 (patch) | |
| tree | b52de548f27adc4406134c0b67728dc3dd9b16a6 /report/paper.md | |
| parent | 97cc07ebc57a813f1fd4b32f314f455c033ab55a (diff) | |
| download | e4-gan-3adb475617e8dd8e53335e834083e6c5348110a5.tar.gz e4-gan-3adb475617e8dd8e53335e834083e6c5348110a5.tar.bz2 e4-gan-3adb475617e8dd8e53335e834083e6c5348110a5.zip | |
Update table
Diffstat (limited to 'report/paper.md')
| -rw-r--r-- | report/paper.md | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/report/paper.md b/report/paper.md index 54f25db..984debf 100644 --- a/report/paper.md +++ b/report/paper.md @@ -151,21 +151,21 @@ with L2-Net logits. $$ \textrm{IS}(x) = \exp(\mathcal{E}_x \left( \textrm{KL} ( p(y\|x) \|\| p(y) ) \right) ) $$ \begin{table}[] -\begin{tabular}{lll} - & \begin{tabular}[c]{@{}l@{}}Test Accuracy \\ (L2-Net)\end{tabular} & \begin{tabular}[c]{@{}l@{}}Inception Score \\ (L2-Net)\end{tabular} \\ \hline - Shallow CGAN & 0.7031 & 5.8 \\ - Medium CGAN & 0.7837 & 6.09 \\ - Deep CGAN & 0.8038 & 6.347 \\ - Convolutional CGAN & 0.7714 & 6.219 \\ - \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ One-sided label smoothing\end{tabular} & 0.8268 & 6.592 \\ - \begin{tabular}[c]{@{}l@{}}Convolutional CGAN\\ One-sided label smoothing\end{tabular} & 0.821 & 7.944 \\ - \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Dropout 0.1\end{tabular} & 0.7697 & 6.341 \\ - \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Dropout 0.5\end{tabular} & 0.751 & 6.16 \\ - \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Virtual Batch Normalization\end{tabular} & 0.787 & 6.28 \\ - \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Virtual Batch Normalization\\ One-sided label smoothing\end{tabular} & 0.829 & 6.62 \\ - *MNIST original test set & 0.9846 & 9.685 - \end{tabular} - \end{table} +\begin{tabular}{llll} + & \begin{tabular}[c]{@{}l@{}}Test \\ Accuracy \\ (L2-Net)\end{tabular} & \begin{tabular}[c]{@{}l@{}}Inception \\ Score \\ (L2-Net)\end{tabular} & \begin{tabular}[c]{@{}l@{}}Execution \\ time\\ (Training \\ GAN)\end{tabular} \\ \hline + Shallow CGAN & 0.645 & 3.57 & 8:14 \\ + Medium CGAN & 0.715 & 3.79 & 10:23 \\ + Deep CGAN & 0.739 & 3.85 & 16:27 \\ + Convolutional CGAN & 0.737 & 4 & 25:27 \\ + \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ One-sided label \\ smoothing\end{tabular} & 0.749 & 3.643 & 10:42 \\ + \begin{tabular}[c]{@{}l@{}}Convolutional CGAN\\ One-sided label \\ smoothing\end{tabular} & 0.601 & 2.494 & 27:36 \\ + \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Dropout 0.1\end{tabular} & 0.761 & 3.836 & 10:36 \\ + \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Dropout 0.5\end{tabular} & 0.725 & 3.677 & 10:36 \\ + \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Virtual Batch \\ Normalization\end{tabular} & ? & ? & ? \\ + \begin{tabular}[c]{@{}l@{}}Medium CGAN\\ Virtual Batch \\ Normalization\\ One-sided label \\ smoothing\end{tabular} & ? & ? & ? \\ + *MNIST original & 0.9846 & 9.685 & N/A + \end{tabular} + \end{table} # Re-training the handwritten digit classifier |