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15.09.2023

Teaser image to MCML at ECML-PKDD 2023

 

MCML at ECML-PKDD 2023

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023). Turin, Italy, September 18-22, 2023

We are happy to announce that MCML researchers are represented with 12 papers at ECML-PKDD 2023:

M. Aßenmacher, L. Rauch, J. Goschenhofer, A. Stephan, B. Bischl, B. Roth and B. Sick.
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. (Workshop paper).
PDF.
S. Dandl, G. Casalicchio, B. Bischl and L. Bothmann.
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.
DOI.
Z. Ding, J. Wu, Z. Li, Y. Ma and V. Tresp.
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.
DOI. GitHub.
S. Gilhuber, J. Busch, D. Rotthues, C. M. M. Frey and T. Seidl.
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification.
DOI.
S. Gilhuber, R. Hvingelby, M. L. A. Fok and T. Seidl.
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning.
DOI.
S. Haas and E. Hüllermeier.
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing.
DOI.
M. Klein, C. Leiber and C. Böhm.
k-SubMix: Common Subspace Clustering on Mixed-Type Data.
DOI.
M. Muschalik, F. Fumagalli, B. Hammer and E. Hüllermeier.
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
DOI.
I. T. Öztürk, R. Nedelchev, C. Heumann, E. Garces Arias, M. Roger, B. Bischl and M. Aßenmacher.
How Different Is Stereotypical Bias Across Languages?. (Workshop paper).
arXiv.
L. Rauch, M. Aßenmacher, D. Huseljic, M. Wirth, B. Bischl and B. Sick.
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
DOI.
S. Urchs, V. Thurner, M. Aßenmacher, C. Heumann and S. Thiemichen.
How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses. (Workshop paper).
arXiv.
J. G. Wiese, L. Wimmer, T. Papamarkou, B. Bischl, S. Günnemann and D. Rügamer.
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
DOI.

15.09.2023

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MCML researchers with 20 papers at EMNLP 2024

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MCML researchers with 16 papers at MICCAI 2024

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26.09.2024

MCML researchers with 18 papers at ECCV 2024

18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, 29.09.2024 - 04.10.2024

Link to MCML at ECML-PKDD 2024

 

10.09.2024

MCML at ECML-PKDD 2024

We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.

Link to

 

20.08.2024

MCML researchers with two papers at KDD 2024

30th ACM SIGKDD International Conference on Knowledge Discovery and Data (KDD 2024). Barcelona, Spain, 25.08.2024 - 29.08.2024