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Bui Thi Mai PHUONG
ard_poster
Commits
c338bbff
Commit
c338bbff
authored
Oct 02, 2018
by
Mary Phuong
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Merge branch 'master' of git.ist.ac.at:buithimai.phuong/ard_poster
parents
e436551d
9957e2f6
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finetuning.tex
finetuning.tex
+8
-3
images/asya-multitask-with-theorem.pdf
images/asya-multitask-with-theorem.pdf
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-0
poster.tex
poster.tex
+3
-14
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finetuning.tex
View file @
c338bbff
\textbf
{
S
ituation
:
}
\begin{minipage}
[c]
{
0.65
\textwidth
}
\textbf
{
S
etting
:
}
\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}
images/asya-multitask-with
_
theorem.pdf
→
images/asya-multitask-with
-
theorem.pdf
View file @
c338bbff
File moved
poster.tex
View file @
c338bbff
...
...
@@ -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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