Permutation-invariant Aggregation
Permutation-Invariant Aggregation is a feature aggregation method that produces the same output regardless of the order of input elements, ensuring invariance to permutations of the input set.
11
Publications
1.3K
Citations
37
Authors
18
Institutions
Publications per year
2017–2026
10
Variants
Order-invariant AggregationSymmetric Aggregation
Parents
11
Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub M. Tomczak, Max Welling · arXiv (Cornell University) · 2018 · 676 citations · Full text
Flipping and cyclic shifting of binary aggregation functions
Bernard De Baets, H. De Meyer, Jana Kalická et al. · Fuzzy Sets and Systems · 2008 · 37 citations
Tianmeng Yang, Yujing Wang, Zhihan Yue et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 37 citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
2 h-index
6 publications
2.5K citations

Peking University
Beijing, China
2 h-index
6 publications
192 citations
Laboratoire d'Informatique de l'École Polytechnique
Palaiseau, France
1 h-index
4 publications
124 citations
Institut Polytechnique de Paris
Palaiseau, France
1 h-index
1 publications
31 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
584 citations
Computing Center
Khabarovsk, Russia
1 h-index
5 publications
105 citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
4 publications
148 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
2 publications
22 citations
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Conference · 3 publications · 84 citations
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Repository · 2 publications · 687 citations
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1 publications · 37 citations
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Repository · 1 publications · 164 citations
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Conference · 1 publications · 20 citations
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