Konstantin Kobs

According to our database, Konstantin Kobs authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Think outside the Black Box: Model-Agnostic Deep Learning with Domain Knowledge.

Konstantin Kobs

PhD thesis, 2024

Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back.

Konstantin Kobs, Jan Pfister, Andreas Hotho

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

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

InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images.

Konstantin Kobs, Michael Steininger, Andreas Hotho

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions.

Dirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022

CLIP knows image aesthetics.

Simon Hentschel, Konstantin Kobs, Andreas Hotho

Frontiers Artif. Intell., 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

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 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

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

On background bias in deep metric learning.

Konstantin Kobs, Andreas Hotho

Proceedings of the Fifteenth International Conference on Machine Vision, 2022

2021

Density-based weighting for imbalanced regression.

Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho

Mach. Learn., 2021

CoBERT: Scientific Collaboration Prediction via Sequential Recommendation.

Tobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho

Proceedings of the 2021 International Conference on Data Mining, 2021

Do Different Deep Metric Learning Losses Lead to Similar Learned Features?

Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment.

Jan Pfister, Konstantin Kobs, Andreas Hotho

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

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

MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images.

Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho

ACM Trans. Spatial Algorithms Syst., 2020

NICER: Aesthetic Image Enhancement with Humans in the Loop.

Michael Fischer, Konstantin Kobs, Andreas Hotho

CoRR, 2020

Anomaly Detection in Beehives using Deep Recurrent Autoencoders.

Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho

Proceedings of the 9th International Conference on Sensor Networks, 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, Andreas Hotho

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), 2020

SimLoss: Class Similarities in Cross Entropy.

Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Semi-Supervised Learning for Grain Size Distribution Interpolation.

Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Where to Submit? Helping Researchers to Choose the Right Venue.

Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020