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06.09.2024

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Teaser image to MCML at ECML-PKDD 2024

Nine Accepted Papers (8 Main, and 1 Workshop)

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius, Lithuania, Sep 09-13, 2024

We are happy to announce that MCML researchers have contributed a total of 9 papers to ECML-PKDD 2024: 8 Main, and 1 Workshop papers. Congrats to our researchers!

Main Track (8 papers)

H. Baniecki • G. CasalicchioB. Bischl • P. Biecek
On the Robustness of Global Feature Effect Explanations.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

C. DamkeE. Hüllermeier
CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

R. Fischer • M. Wever • S. Buschjäger • T. Liebig
MetaQuRe: Meta-learning from Model Quality and Resource Consumption.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

S. Gilhuber • A. Beer • Y. MaT. Seidl
FALCUN: A Simple and Efficient Deep Active Learning Strategy.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

P. Jahn • C. M. M. Frey • A. Beer • C. LeiberT. Seidl
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI GitHub

Y. LiuE. Nie • S. Feng • Z. Hua • Z. Ding • D. Wang • Y. Zhang • H. Schütze
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI GitHub

F. Stermann • I. Chalkidis • A. Vahidi • B. BischlM. Rezaei
Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

A. Vahidi • L. WimmerH. A. GündüzB. BischlE. HüllermeierM. Rezaei
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

Workshops (1 paper)

M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
Explaining Change in Models and Data with Global Feature Importance and Effects.
TempXAI @ECML-PKDD 2024 - Tutorial-Workshop Explainable AI for Time Series and Data Streams at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. PDF

#research #top-tier-work #bischl #huellermeier #schuetze #seidl #tresp
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