12.08.2022
MCML at KDD 2022
One Accepted Paper
28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14-18, 2022
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2022. Congrats to our researchers!
Main Track (1 paper)
C. Leiber • L. G. M. Bauer • M. Neumayr • C. Plant • C. Böhm
The DipEncoder: Enforcing Multimodality in Autoencoders.
KDD 2022 - 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, Aug 14-18, 2022. DOI
The DipEncoder: Enforcing Multimodality in Autoencoders.
KDD 2022 - 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, Aug 14-18, 2022. DOI
Related
03.09.2026
Julia Schnabel: What if a Broken Rib Could Save Your Life?
MCML PI Julia Schnabel explores how AI can uncover hidden signs of disease in medical images that might otherwise go undetected.
