Where to Submit? Helping Researchers to Choose the Right Venue. - Konstantin Kobs; Tobias Koopmann; Albin Zehe; David Fernes; Philipp Krop; Andreas Hotho (EMNLP (Findings), 2020)

Semi-Supervised Learning for Grain Size Distribution Interpolation. - Konstantin Kobs; Christian Schäfer; Michael Steininger; Anna Krause; Roland Baumhauer; Heiko Paeth; Andreas Hotho (ICPR Workshops (6), 2020)

SimLoss: Class Similarities in Cross Entropy. - Konstantin Kobs; Michael Steininger; Albin Zehe; Florian Lautenschlager 002; Andreas Hotho (ISMIS, 2020)

Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020. - Konstantin Kobs; Martin Potthast; Matti Wiegmann; Albin Zehe; Benno Stein 001; Andreas Hotho (ChAT@PKDD/ECML, 2020)

Anomaly Detection in Beehives using Deep Recurrent Autoencoders. - Padraig Davidson; Michael Steininger; Florian Lautenschlager 002; Konstantin Kobs; Anna Krause; Andreas Hotho (SENSORNETS, 2020)

NICER: Aesthetic Image Enhancement with Humans in the Loop. - Michael Fischer; Konstantin Kobs; Andreas Hotho (CoRR, 2020)

MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. - Michael Steininger; Konstantin Kobs; Albin Zehe; Florian Lautenschlager 002; Martin Becker 003; Andreas Hotho (ACM Trans. Spatial Algorithms Syst., 2020)

Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels. - Konstantin Kobs; Albin Zehe; Armin Bernstetter; Julian Chibane; Jan Pfister; Julian Tritscher; Andreas Hotho (ACM Trans. Soc. Comput., 2020)

Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. - Jan Pfister; Konstantin Kobs; Andreas Hotho (CVPR Workshops, 2021)

Do Different Deep Metric Learning Losses Lead to Similar Learned Features? - Konstantin Kobs; Michael Steininger; Andrzej Dulny; Andreas Hotho (ICCV, 2021)

CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. - Tobias Koopmann; Konstantin Kobs; Konstantin Herud; Andreas Hotho (ICDM (Workshops), 2021)

Density-based weighting for imbalanced regression. - Michael Steininger; Konstantin Kobs; Padraig Davidson; Anna Krause; Andreas Hotho (Mach. Learn., 2021)

On background bias in deep metric learning. - Konstantin Kobs; Andreas Hotho (ICMV, 2022)

LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance. - Stefan Heil; Karina Kopp; Albin Zehe; Konstantin Kobs; Andreas Hotho (SemEval@NAACL, 2022)

WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. - Dirk Wangsadirdja; Felix Heinickel; Simon Trapp; Albin Zehe; Konstantin Kobs; Andreas Hotho (SemEval@NAACL, 2022)

CLIP knows image aesthetics. - Simon Hentschel; Konstantin Kobs; Andreas Hotho (Frontiers Artif. Intell., 2022)

Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. - Dirk Wangsadirdja; Jan Pfister; Konstantin Kobs; Andreas Hotho (SemEval@ACL, 2023)

InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. - Konstantin Kobs; Michael Steininger; Andreas Hotho (WACV, 2023)

Extensible Motion-based Identification of XR Users with Non-Specific Motion. - Christian Schell; Konstantin Kobs; Tamara Fernando; Andreas Hotho; Marc Erich Latoschik (CoRR, 2023)

Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back. - Konstantin Kobs; Jan Pfister; Andreas Hotho (SemEval@NAACL, 2024)

Think outside the Black Box: Model-Agnostic Deep Learning with Domain Knowledge. - Konstantin Kobs (2024)