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ORCIDMeta-Knowledge Transfer @ ECML/PKDD 2022, Grenoble, France
- Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France. Proceedings of Machine Learning Research 191, PMLR 2022
Preface
- Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. 1-7
Contributed Talks
- Pascal Hitzler:
Some advances regarding ontologies and neuro-symbolic artificial intelligence. 8-10
Original Papers
- Marie Anastacio, Théo Matricon, Holger H. Hoos:
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. 11-23 - Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu:
NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. 24-37 - Difan Deng, Marius Lindauer
:
Searching in the Forest for Local Bayesian Optimization. 38-50 - Gideon Franken, Prabhant Singh, Joaquin Vanschoren:
Faster Performance Estimation for NAS with Embedding Proximity Score. 51-61 - Manuel Occorso, Luca Sabbioni, Alberto Maria Metelli, Marcello Restelli:
Trust Region Meta Learning for Policy Optimization. 62-74
Extended Abstracts
- Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek:
Interpretable Meta-Score for Model Performance: Extended Abstract. 75-77 - Dusan Hetlerovic, Lubos Popelínský, Pavel Bradi, Carlos Soares, Fernando Freitas:
On Usefulness of Outlier Elimination in Classification Tasks: Extended Abstract. 78-80 - Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. 81-83
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