02.08.2024
MCML at IJCAI 2024
Three Accepted Papers (2 Main, and 1 Workshop)
33rd International Joint Conference on Artificial Intelligence, Jeju, Korea, Aug 03-09, 2024
We are happy to announce that MCML researchers have contributed a total of 3 papers to IJCAI 2024: 2 Main, and 1 Workshop papers. Congrats to our researchers!
Main Track (2 papers)
J. Brandt • M. Wever • V. Bengs • E. Hüllermeier
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO.
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO.
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI
J. G. Wiese • L. Wimmer • T. Papamarkou • B. Bischl • S. Günnemann • D. Rügamer
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract).
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract).
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI
Workshops (1 paper)
P. Wicke • L. Hirlimann • J. M. Cunha
Using Analogical Reasoning to Prompt LLMs for their Intuitions of Abstract Spatial Schemas.
Analogy-ANGLE 2024 @IJCAI 2024 - 1st Workshop on Analogical Abstraction in Cognition, Perception, and Languageat the 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. PDF
Using Analogical Reasoning to Prompt LLMs for their Intuitions of Abstract Spatial Schemas.
Analogy-ANGLE 2024 @IJCAI 2024 - 1st Workshop on Analogical Abstraction in Cognition, Perception, and Languageat the 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. PDF
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
Teaching NLP in the LLM Era: Workshop TeachNLP 2026
MCML member Matthias Aßenmacher co-organized TeachNLP 2026, a workshop on designing NLP courses in the era of generative AI and LLMs.
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.
