18.11.2020

MCML at CoNLL 2020

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to CoNLL 2020. Congrats to our researchers!

N. Kassner • B. Krojer • H. Schütze
Are Pretrained Language Models Symbolic Reasoners over Knowledge?
CoNLL 2020 - 24th Conference on Computational Natural Language Learning. Virtual, Nov 19-20, 2020. DOI

28.08.2026

MCML at ICDAR 2026

MCML researchers are represented with 1 paper at ICDAR 2026.

26.08.2026

Transparency for Global Health Aid

MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.

25.08.2026

David Rügamer: We Need Uncertainty Quantification

MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.

24.08.2026

Using Data Science to Personalize Depression Care

Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.

14.08.2026

MCML at IJCAI-ECAI 2026

MCML researchers are represented with 1 paper at IJCAI-ECAI 2026.

2020-11-18 - Last modified: 2020-11-18