Google Research· ResearchResearch paper

​Sequential Attention: Making AI models leaner and faster without sacrificing accuracy

Google Research introduces Sequential Attention, a subset selection algorithm for making large-scale ML models more efficient by greedily selecting features, layers or blocks during training without sacrificing accuracy.

From the source

We introduce a subset selection algorithm for making large scale ML models more efficient.

research.google

Announced

04 Feb 2026 15:14 UTC

Detected

03 Aug 2026 21:12 UTC (+180d after)