Commit c338bbff authored by Mary Phuong's avatar Mary Phuong

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

parents e436551d 9957e2f6
\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}
......@@ -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}
......
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