\BOOKMARK [1][-]{section.1}{introduction}{}% 1
\BOOKMARK [1][-]{section.2}{related works}{}% 2
\BOOKMARK [1][-]{section.3}{backgrounds}{}% 3
\BOOKMARK [2][-]{subsection.3.1}{Background}{section.3}% 4
\BOOKMARK [2][-]{subsection.3.2}{Adaptive Dropout Rate}{section.3}% 5
\BOOKMARK [2][-]{subsection.3.3}{Methodology}{section.3}% 6
\BOOKMARK [2][-]{subsection.3.4}{Evaluation Metrics}{section.3}% 7
\BOOKMARK [1][-]{section.4}{methodology}{}% 8
\BOOKMARK [2][-]{subsection.4.1}{Adaptive Dropout Rate for Adversarial Generative Neural Networks}{section.4}% 9
\BOOKMARK [2][-]{subsection.4.2}{Standard GAN Training Procedure}{section.4}% 10
\BOOKMARK [2][-]{subsection.4.3}{Incorporating Adaptive Dropout Rate}{section.4}% 11
\BOOKMARK [2][-]{subsection.4.4}{Training Algorithm}{section.4}% 12
\BOOKMARK [1][-]{section.5}{experiments}{}% 13
\BOOKMARK [2][-]{subsection.5.1}{Experimental Setup}{section.5}% 14
\BOOKMARK [2][-]{subsection.5.2}{Results and Discussion}{section.5}% 15
\BOOKMARK [1][-]{section.6}{conclusion}{}% 16