20.04.2020
MCML at WWW 2020
Two Accepted Papers (2 Workshops)
International World Wide Web Conference, Taipeh, Taiwan, Apr 21, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to WWW 2020: 2 Workshop papers. Congrats to our researchers!
Workshops (2 papers)
M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. arXiv
Active Learning for Entity Alignment.
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. arXiv
M. Berrendorf • E. Faerman • L. Vermue • V. Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank (Extended Abstract).
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. Full paper at WI-AT 2020. DOI
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank (Extended Abstract).
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. Full paper at WI-AT 2020. DOI
Related
28.04.2026
Björn Ommer: How AI Can Transform Society if We Use It Responsibly
MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.
23.04.2026
When Vision AI Hallucinates Details
Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.
22.04.2026
MCML at ICLR 2026
MCML researchers are represented with 36 papers at ICLR 2026 (33 Main, and 3 Workshops).
