Huseljic, Denis

10 publications

ICLR 2025 BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz

TMLR 2025 Crowd-Hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick

ECML-PKDD 2025 Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

NeurIPS 2024 Dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

ECML-PKDD 2024 Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick

TMLR 2024 The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick

ECML-PKDD 2023 ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick

TMLR 2023 Multi-Annotator Deep Learning: A Probabilistic Framework for Classification Marek Herde, Denis Huseljic, Bernhard Sick

CVPRW 2021 Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick

MLJ 2021 Toward Optimal Probabilistic Active Learning Using a Bayesian Approach Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick