Merge branch 'master' of git.ist.ac.at:buithimai.phuong/ard_poster

finetuning.tex

-
-\textbf{Situation:}
+\begin{minipage}[c]{0.65\textwidth}
+\textbf{Setting:}
 \begin{itemize}
 \item classes appear sequentially (or in batches) % $c_1,c_2,\dots,c_T$
 \item each class $y$ has training images $X^y=\{x^y_1,\dots,x^y_{n_y}\}$
-\end{itemize}
\ No newline at end of file
+\end{itemize}
+\end{minipage}
+~
+\begin{minipage}[c]{0.65\textwidth}
+\textbf{Example (ImageNet and Variants)}
+\end{minipage}

poster.tex

@@ -165,11 +165,7 @@ Object categorization methods are trained to recognize \textbf{1000s of classes}
 \end{block}
 
 \begin{block}{\Large Example: Fine-tuning}
-
-  \begin{center}
-    yes%\includegraphics{dummy} ~~
-  \end{center}
-
+  \input{finetuning.tex}
 \end{block}
 
 \begin{block}{\Large Example: Distillation}
@@ -202,24 +198,17 @@ Object categorization methods are trained to recognize \textbf{1000s of classes}
 \end{itemize}
 
   \begin{center}
-    yes%\includegraphics{dummy} ~~
+    \includegraphics[width=.5\columnwidth]{incremental}
   \end{center}
 
-\bigskip
-Object categorization methods are trained to recognize \textbf{1000s of classes}:
-
 \end{block}
 
 
 \begin{block}{\Large Example: Multi-task Learning}
 
   \begin{center}
-    yes%\includegraphics{dummy} ~~
+    \includegraphics[width=.5\columnwidth]{asya-multitask-with-theorem}
   \end{center}
-
-\bigskip
-Object categorization methods are trained to recognize \textbf{1000s of classes}:
-
 \end{block}
 
 \begin{block}{\Large Example: Multi-output Distillation}