add several slides and delete template ones

presentation/main.tex

@@ -3,7 +3,7 @@
 %	Struktur und Pointer Referat
 %   20.04.2020
 %----------------------------------------------------------------------------------------
-\usetheme[nofirafonts]{focus}
+\usetheme{focus}
 
 \usepackage[utf8]{inputenc}
 
@@ -74,21 +74,22 @@
 %	 SECTION 1
 %----------------------------------------------------------------------------------------
 % todo pic of action
+
     \section{The goal}
     \begin{frame}{The goal}
-      \begin{itemize}
-        \item train model
-        \item recognize action of person
-        \item from video [$\approx$10sec]
-        \item eg.:
         \begin{itemize}
-          \item brushing hair
+            \item train model
-          \item riding bike
+            \item recognize action of person
-          \item dancing
+            \item from video [$\approx$10sec]
-          \item playing violin
+            \item eg.:
+            \begin{itemize}
+                \item brushing hair
+                \item riding bike
+                \item dancing
+                \item playing violin
+            \end{itemize}
+            \item as generic as possible
         \end{itemize}
-      \end{itemize}
-    
     \end{frame}
 
 %----------------------------------------------------------------------------------------
@@ -104,16 +105,16 @@
         \begin{itemize}
             \item Supervised action recoginition
             \begin{itemize}
-              \item lots of labeled samples necessary
+                \item lots of labeled samples necessary
-              \item videos
+                \item videos
             \end{itemize}
             \item Labeling Samples very expensive
             \begin{itemize}
-              \item avoid!
+                \item Avoid!
             \end{itemize}
             \item Tremendous amount of unlabled data
             \begin{itemize}
-              \item YouTube
+                \item YouTube
             \end{itemize}
             \item using semi-supervised learning might be benefitial
         \end{itemize}
@@ -121,18 +122,50 @@
 
 %------------------------------------------------
 
-    \begin{frame}{Whats already been done}
+    \begin{frame}{What's all about Semi supervised?}
-    \begin{itemize}
+        \begin{itemize}
-      \item pseudo-labeling
+            \item Supervised learning
-    \end{itemize}
+            \begin{itemize}
+                \item Data samples
+                \item Target labels
+                \item Each sample is associated to target label
+            \end{itemize}
+            \item Unsupervised learning
+            \begin{itemize}
+                \item Data samples
+                \item target is to find patterns in data
+                \item without supervision
+            \end{itemize}
+            \item Semi-Supervised learning
+            \begin{itemize}
+                \item combination of both
+                \item have labeled \& unlabeled data
+                \item labeled data guides learning process
+                \item unlabled helps to gain additional information
+                \item goal is performance improvement
+            \end{itemize}
+        \end{itemize}
     \end{frame}
 
 %------------------------------------------------
 
-    \begin{frame}{Pointer in Java}
+    \begin{frame}[allowframebreaks]{What's already been done}
         \begin{itemize}
-            \item Alle Objekte automatisch Pointer
+            \item Pseudo-labeling
-            \item Primitives (int, float, double) keine Pointer
+            \item Train model on labeled data
+            \begin{itemize}
+                \item Eg. 1\% of data labeled
+            \end{itemize}
+            \item Confidence of prediction
+            \item If high enough
+            \item Use to predict unlabeled data
+        \end{itemize}
+
+        \framebreak
+        \begin{itemize}
+            \item quantity and quality of pseudo-labels
+            \item significant impact on main model accuracy!
+            \item we want to improve pseudo-label framework as much as possible
         \end{itemize}
     \end{frame}
 
@@ -140,179 +173,50 @@
 %	 SECTION 2
 %----------------------------------------------------------------------------------------
 
+    \section{Cross-Model Pseudo-Labeling}
 
-    \section{Strukturen} % Section title slide, unnumbered
+    \begin{frame}[allowframebreaks]{Papers approach}
-
-%------------------------------------------------
-
-    \begin{frame}{Strukturen Allgemein}
         \begin{itemize}
-            \item kategorisieren von Variablen
+            \item Based on complementary-representations of model
+            \item Models of different size
+            \item Different structural-bias $\rightarrow$ different category-wise performance
+            \item Small model
             \begin{itemize}
-                \item Variablen \textit{(int, char, double, float)}
+                \item lower capacity
-                \item Pointer
+                \item better captures temporal dynamics in recognizing actions
-                \item Arrays
+            \end{itemize}
+            \item Large model
+            \begin{itemize}
+                \item better learns spatial semantics
+                \item to distinguish different action instances
             \end{itemize}
-            \item Keyword \textit{struct}
-            \item verbessert Übersicht
-            \item Schritt Richtung Objektorientierung
-            \item ideal für Listen und Baumstruktur
         \end{itemize}
-    \end{frame}
-
-%------------------------------------------------
-
-    \begin{frame}[fragile, allowframebreaks]{C Syntax}
-        Definition:
-        \begin{lstlisting}
-struct Adresse {
-    char name[50];
-	int *nummer;
-	short hausnummer;
-	long plz;
-};\end{lstlisting}
-        Anwendung:
-        \begin{lstlisting}
-// Variable der Struktur erstellen
-struct Adresse adresseKurt;
-// Zugriff auf die Elemente
-strcpy(adresseKurt.name, "Kurt Kanns");
-adresseKurt.hausnummer = 23;
-int nr = 4;
-adresseKurt.nummer = &nr;
-adresseKurt.plz = 45678;\end{lstlisting}
 
         \framebreak
 
-        Typdefinition mit typedef:
-        \begin{lstlisting}
-struct Adresse {
-    char name[50];
-	short hausnummer;
-};
-typedef struct Adresse Adr;
-
-Adr a1,a2; // Datentyp Adr
-        \end{lstlisting}
-
-        Kombination:
-        \begin{lstlisting}
-typedef struct Adresse {
-    char name[50];
-	short hausnummer;
-} Adr;
-
-Adr a1,a2; // Datentyp Adr
-        \end{lstlisting}
-    \end{frame}
-
-    \begin{frame}{Sonstiges}
         \begin{itemize}
-            \item Strukturtypdeklaration: struct Adresse \{…\};
+            \item Cross-Model Pseudo-Labeling
-            \item Zugriff auf einzelne Komponenten durch\\
+            \item Primary backbone
-            Punktnotation: (Adresse1.Vorname = “Peter“);
+            \item Supplemented by lightweight auxiliary network
-            \item Pfeilnotation (->) wenn struct Pointer
+            \begin{itemize}
-            \item Gesamtlänge der Struktur: sizeof(<Struktur>)
+                      \item Different structure
-            \item Weiteres hinzufügen von Komponenten während der Laufzeit nicht möglich.
+                      \item Fewer channels
+            \end{itemize}
+            \item Different representation of data complements primary backbone
         \end{itemize}
     \end{frame}
 
-%------------------------------------------------
 
-    \begin{frame}[fragile]{Strukturen als Funktionsargument}
+    \begin{frame}{Performance glance}
-        Ohne Typedef:
+        todo the pic of the performance graph
-        \begin{lstlisting}
-void testfunc(struct Adresse a){
-    long plz = a.plz;
-}
-        \end{lstlisting}
-        Mit Typedef:
-        \begin{lstlisting}
-void testfunc(Adr a){
-    long plz = a.plz;
-}
-        \end{lstlisting}
     \end{frame}
 
-%------------------------------------------------
-
-    \begin{frame}[fragile]{Strukturen in Java}
-        \begin{itemize}
-            \item existieren nicht
-            \item stattdessen Klassen
-        \end{itemize}
-        \begin{lstlisting}[language=java]
-public class Adresse
-{
-    String name;
-	String strasse;
-	short hausnummer;
-	long plz;
-	String stadt;
-}
-        \end{lstlisting}
-    \end{frame}
-
-%----------------------------------------------------------------------------------------
-%	 SECTION 3
-%----------------------------------------------------------------------------------------
 
 
-    \section{Anwendung} % Section title slide, unnumbered
+    % ---  THE END
-
-%------------------------------------------------
-
-    \begin{frame}[fragile]{Struktur als Pointer}
-        \begin{lstlisting}
-struct mystruct {
-    int data;
-};
-typedef struct MyStruct MyStruct;
-
-void beispiel(MyStruct * str) {
-    int d = str->data;
-    int dd = (*str).data; // equivalent
-}
-
-int main(){
-    MyStruct struc;
-    struc.data = 5;
-    beispiel(&struc);
-
-    return 0;
-}
-        \end{lstlisting}
-    \end{frame}
-
-%------------------------------------------------
-
-    \begin{frame}[fragile]{Verkettete Listen}
-        \begin{lstlisting}
-struct node {
-   int data;
-   struct node* next; /* Typ Node hier nicht moeglich
-   da erst spaeter definiert */
-};
-typedef struct node Node;
-
-void beispiel() {
-   // Erstellen von root
-   Node *root = malloc(sizeof(Node));
-
-   root->data = 17;
-
-   // Anhaengen eines Knotens
-   Node *secondNode = malloc(sizeof(Node));
-   root->next = secondNode;
-   secondNode->data = 19;
-}
-        \end{lstlisting}
-    \end{frame}
-
-%------------------------------------------------
 
     \begin{frame}[focus]
-        Danke für eure Aufmerksamkeit!
+        Thanks for your Attention!
     \end{frame}
 
 %----------------------------------------------------------------------------------------
@@ -321,7 +225,7 @@ void beispiel() {
 
     \appendix
 
-    \begin{frame}{Quellen}
+    \begin{frame}{Sources}
         \nocite{*} % Display all references regardless of if they were cited
         \bibliography{sources}
         \bibliographystyle{plain}