Konstantin Kobs

28 papers A* 1A 1C 2Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back.
SemEval@NAACL
Konstantin Kobs, Jan Pfister, Andreas Hotho
2024 — —
Think outside the Black Box: Model-Agnostic Deep Learning with Domain Knowledge.
Konstantin Kobs
2023 J jnl
Extensible Motion-based Identification of XR Users with Non-Specific Motion.
CoRR
Christian Schell, Konstantin Kobs, Tamara Fernando, Andreas Hotho, Marc Erich Latoschik
2023 A conf
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images.
WACV
Konstantin Kobs, Michael Steininger, Andreas Hotho
2023 — conf
Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions.
SemEval@ACL
Dirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho
2022 J jnl
CLIP knows image aesthetics.
Frontiers Artif. Intell.
Simon Hentschel, Konstantin Kobs, Andreas Hotho
2022 J jnl
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
CoRR
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
2022 J jnl
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images.
CoRR
Konstantin Kobs, Michael Steininger, Andreas Hotho
2022 — conf
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance.
SemEval@NAACL
Stefan Heil, Karina Kopp, Albin Zehe, Konstantin Kobs, Andreas Hotho
2022 J jnl
On Background Bias in Deep Metric Learning.
CoRR
Konstantin Kobs, Andreas Hotho
2022 C conf
On background bias in deep metric learning.
ICMV
Konstantin Kobs, Andreas Hotho
2022 — conf
WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices.
SemEval@NAACL
Dirk Wangsadirdja, Felix Heinickel, Simon Trapp, Albin Zehe, Konstantin Kobs, Andreas Hotho
2021 — conf
CoBERT: Scientific Collaboration Prediction via Sequential Recommendation.
ICDM (Workshops)
Tobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho
2021 J jnl
Density-based weighting for imbalanced regression.
Mach. Learn.
Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho
2021 A* conf
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
ICCV
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
2021 — conf
Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment.
CVPR Workshops
Jan Pfister, Konstantin Kobs, Andreas Hotho
2020 — conf
Anomaly Detection in Beehives using Deep Recurrent Autoencoders.
SENSORNETS
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
2020 J jnl
Anomaly Detection in Beehives using Deep Recurrent Autoencoders.
CoRR
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
2020 J jnl
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels.
ACM Trans. Soc. Comput.
Konstantin Kobs, Albin Zehe, Armin Bernstetter, Julian Chibane, Jan Pfister, Julian Tritscher, Andreas Hotho
2020 J jnl
MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images.
ACM Trans. Spatial Algorithms Syst.
Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho
2020 J jnl
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images.
CoRR
Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho
2020 J jnl
NICER: Aesthetic Image Enhancement with Humans in the Loop.
CoRR
Michael Fischer, Konstantin Kobs, Andreas Hotho
2020 — ed.
Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), Ghent, Belgium (virtual due to Covid-19 pandemic), September 18, 2020.
ChAT@PKDD/ECML
Konstantin Kobs, Martin Potthast, Albin Zehe, Matti Wiegmann, Benno Stein, Andreas Hotho
2020 — conf
Semi-Supervised Learning for Grain Size Distribution Interpolation.
ICPR Workshops (6)
Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho
2020 C conf
SimLoss: Class Similarities in Cross Entropy.
ISMIS
Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho
2020 J jnl
SimLoss: Class Similarities in Cross Entropy.
CoRR
Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho
2020 — conf
Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020.
ChAT@PKDD/ECML
Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, Andreas Hotho
2020 — conf
Where to Submit? Helping Researchers to Choose the Right Venue.
EMNLP (Findings)
Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho