INFORMATIK 2021

INFORMATIK 2021

Neural Networks and Deep Learning
01.10.2021 , KI: Room John McCarthy
Sprache: English

Semi-unsupervised Learning: An In-depth Parameter Analysis
Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, and Andreas Hotho

A high-speed Neural Architecture Search Considering the Number of Weights
Yamada Fuyuka, Tsuji Satoki, Kawaguchi Hiroshi, Inoue Atsuki, and Sakai Yasufumi

Combining Transformer Generators with Convolutional Discriminators
Ricard Durall, Stanislav Frolov, Andreas Dengel, and Janis Keuper

Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer, Felix Michels, and Oliver De Candido

Interactive Image Clustering and Fine-tuning Neural Networks in VR
Alexander Prange and Daniel Sonntag

HUI-Audio-Corpus-German: A high quality TTS dataset
Pascal Puchtler, Johannes Wirth, and René Peinl


Session chair: Elmar Rückert