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| -rw-r--r-- | report/paper.md | 28 | 
1 files changed, 12 insertions, 16 deletions
| diff --git a/report/paper.md b/report/paper.md index f3d73dc..3853717 100644 --- a/report/paper.md +++ b/report/paper.md @@ -153,26 +153,22 @@ with L2-Net logits.  $$ \textrm{IS}(x) = \exp(\mathbb{E}_x \left( \textrm{KL} ( p(y\mid x) \| p(y) ) \right) ) $$ -```  \begin{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                   - +                                                                                                                    & \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 | 
