Marek Herde

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Active Learning

Top Venues

Publications

Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification. CoRR (2024)
Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. CoRR (2024)
Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. CoRR (2024)
Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification. Trans. Mach. Learn. Res. 2024 (2024)
Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke, Marek Herde, Denis Huseljic, Bernhard Sick, Michael Wachendorf, Thomas Esch
Active Label Refinement for Semantic Segmentation of Satellite Images. CoRR (2023)
Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML (2023)
Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick
Role of Hyperparameters in Deep Active Learning. IAL@PKDD/ECML (2023)
Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß
Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. IAL@PKDD/ECML (2023)
Marek Herde, Denis Huseljic, Bernhard Sick
Multi-annotator Deep Learning: A Probabilistic Framework for Classification. CoRR (2023)
Marek Herde, Denis Huseljic, Bernhard Sick
Multi-annotator Deep Learning: A Probabilistic Framework for Classification. Trans. Mach. Learn. Res. 2023 (2023)
Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. DS (2023)
Marek Herde, Denis Huseljic, Jelena Mitrovic, Michael Granitzer, Bernhard Sick
A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. IAL@PKDD/ECML (2022)
Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR (2022)
Denis Huseljic, Marek Herde, Mehmet Muejde, Bernhard Sick
A Review of Uncertainty Calibration in Pretrained Object Detectors. CoRR (2022)
Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access 9 (2021)
Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. IAL@PKDD/ECML (2021)
Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. CoRR (2021)
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
Toward optimal probabilistic active learning using a Bayesian approach. Mach. Learn. 110 (6) (2021)
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. CoRR (2020)
Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick
Multi-Annotator Probabilistic Active Learning. ICPR (2020)
Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke
Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. ICPR (2020)
Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN (2019)
Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig
Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. CoRR (2019)
Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN (2018)