https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=Kaiming_HeKaiming He - Revision history2026-09-15T07:02:58ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Kaiming_He&diff=154&oldid=previmported>ALT-TEXT: Import: 52 additional AI people glossary entries2026-09-07T20:10:00Z<p>Import: 52 additional AI people glossary entries</p>
<p><b>New page</b></p><div>== Kaiming He ==<br />
A Chinese computer vision researcher whose Residual Networks, published in 2015, let networks grow from tens of layers to hundreds. The trick was a skip connection that passes a layer's input forward unchanged alongside its output, so gradients have a short path back and each block only has to learn a residual correction. ResNets won ImageNet in 2015, and residual connections are now standard inside Transformers too. He also produced Faster R-CNN, Mask R-CNN and Masked Autoencoders, and teaches at MIT. (See also: [[Deep learning]], [[Neural network]], [[Backpropagation]], [[Transformer (AI architecture)|Transformer]])<br />
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[[Category:People]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Deep Learning Pioneers]]<br />
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