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September 18, 2026
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Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
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Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective

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Bazhenov G., Sergei Ivanov, Panov M., Zaytsev A., Evgeny Burnaev

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Language: English
DOI
Text on another site
Keywords: graph classification

In book

ICML 2022 Workshop: Principles of Distribution Shift (PODS)
[б.и.], 2022.
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The problem of out-of-distribution detection for graph classification is far from being solved. The existing models tend to be overconfident about OOD examples or completely ignore the detection task. In this work, we consider this problem from the uncertainty estimation perspective and perform the comparison of several recently proposed methods. In our experiment, we find ...
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