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ORCIDKonstantin Kobs
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2020 – today
- 2024
[b1]Konstantin Kobs:
Think outside the Black Box: Model-Agnostic Deep Learning with Domain Knowledge. Julius Maximilians University Würzburg, Germany, 2024- [c13]Konstantin Kobs, Jan Pfister, Andreas Hotho:
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back. SemEval@NAACL 2024: 1529-1536 - 2023
- [c12]Dirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho:
Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. SemEval@ACL 2023: 1090-1095 - [c11]Konstantin Kobs, Michael Steininger, Andreas Hotho:
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. WACV 2023: 1063-1072 - [i8]Christian Schell
, Konstantin Kobs, Tamara Fernando, Andreas Hotho, Marc Erich Latoschik:
Extensible Motion-based Identification of XR Users with Non-Specific Motion. CoRR abs/2302.07517 (2023) - 2022
- [j4]Simon Hentschel, Konstantin Kobs, Andreas Hotho:
CLIP knows image aesthetics. Frontiers Artif. Intell. 5 (2022) - [c10]Stefan Heil, Karina Kopp, Albin Zehe, Konstantin Kobs, Andreas Hotho:
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance. SemEval@NAACL 2022: 1190-1195 - [c9]Dirk Wangsadirdja, Felix Heinickel, Simon Trapp, Albin Zehe, Konstantin Kobs, Andreas Hotho:
WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. SemEval@NAACL 2022: 1235-1243 - [i7]Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? CoRR abs/2205.02698 (2022) - [i6]Konstantin Kobs, Andreas Hotho:
On Background Bias in Deep Metric Learning. CoRR abs/2210.01615 (2022) - [i5]Konstantin Kobs, Michael Steininger, Andreas Hotho:
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. CoRR abs/2211.12760 (2022) - 2021
- [j3]Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho:
Density-based weighting for imbalanced regression. Mach. Learn. 110(8): 2187-2211 (2021) - [c8]Jan Pfister, Konstantin Kobs, Andreas Hotho:
Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. CVPR Workshops 2021: 816-825 - [c7]Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021: 10624-10634 - [c6]Tobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho:
CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. ICDM (Workshops) 2021: 45-54 - 2020
- [j2]Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho:
MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6(3): 19:1-19:24 (2020) - [j1]Konstantin Kobs, Albin Zehe, Armin Bernstetter, Julian Chibane, Jan Pfister, Julian Tritscher, Andreas Hotho:
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Trans. Soc. Comput. 3(2): 7:1-7:34 (2020) - [c5]Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho:
Where to Submit? Helping Researchers to Choose the Right Venue. EMNLP (Findings) 2020: 878-883 - [c4]Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho:
Semi-Supervised Learning for Grain Size Distribution Interpolation. ICPR Workshops (6) 2020: 34-44 - [c3]Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. ISMIS 2020: 431-439 - [c2]Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, Andreas Hotho:
Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020. ChAT@PKDD/ECML 2020 - [c1]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. SENSORNETS 2020: 142-149 - [e1]Konstantin Kobs, Martin Potthast, Albin Zehe, Matti Wiegmann, 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), Ghent, Belgium (virtual due to Covid-19 pandemic), September 18, 2020. CEUR Workshop Proceedings 2661, CEUR-WS.org 2020 [contents] - [i4]Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho:
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images. CoRR abs/2002.07493 (2020) - [i3]Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. CoRR abs/2003.03182 (2020) - [i2]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. CoRR abs/2003.04576 (2020) - [i1]Michael Fischer, Konstantin Kobs, Andreas Hotho:
NICER: Aesthetic Image Enhancement with Humans in the Loop. CoRR abs/2012.01778 (2020)
Coauthor Index
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last updated on 2024-09-13 00:45 CEST by the dblp team
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