06.09.2024
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. Casalicchio • B. 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
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. Damke • E. 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
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
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. Ma • T. 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
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. Leiber • T. 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
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. Liu • E. 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
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. Bischl • M. 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
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. Wimmer • H. A. Gündüz • B. Bischl • E. Hüllermeier • M. 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
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
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
Related
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Nikita Araslanov, MCML Junior Member, awarded Emmy Noether Grant to establish an independent AI research group at TUM.