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19.02.2024

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Teaser image to MCML at AAAI 2024

MCML at AAAI 2024

Five Accepted Papers

38th Conference on Artificial Intelligence, Vancouver, Canada, Feb 20-27, 2024

We are happy to announce that MCML researchers have contributed a total of 5 papers to AAAI 2024. Congrats to our researchers!

Main Track (5 papers)

H. Chen • Y. Zhang • D. Krompass • J. Gu • V. Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

P. Kolpaczki • V. Bengs • M. Muschalik • E. Hüllermeier
Approximating the Shapley Value without Marginal Contributions.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

J. Lienen • E. Hüllermeier
Mitigating Label Noise through Data Ambiguation.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

T. N. Wolf • F. Bongratz • A.-M. Rickmann • S. Pölsterl • C. Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

#research #top-tier-work #huellermeier #tresp #wachinger

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