01.02.2021
MCML at AAAI 2021
Two Accepted Papers
35th Conference on Artificial Intelligence, Virtual, Feb 02-09, 2021
We are happy to announce that MCML researchers have contributed a total of 2 papers to AAAI 2021. Congrats to our researchers!
Main Track (2 papers)
M. Fromm • E. Faerman • M. Berrendorf • S. Bhargava • R. Qi • Y. Zhang • L. Dennert • S. Selle • Y. Mao • T. Seidl
Argument Mining Driven Analysis of Peer-Reviews.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI GitHub
Argument Mining Driven Analysis of Peer-Reviews.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI GitHub
S. Sharifzadeh • S. M. Baharlou • V. Tresp
Classification by Attention: Scene Graph Classification with Prior Knowledge.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI
Classification by Attention: Scene Graph Classification with Prior Knowledge.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI
Related
10.06.2026
How Should Researchers Report Their Use of LLMs?
Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.
02.06.2026
Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness
MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.
02.06.2026
MCML at CVPR 2026
MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).
