Stochastic gradient descent
Stochastic gradient descent is losing ground in AI research: 0.1% to 0.1% of new AI papers, -0.0 points. It ranks #181 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.0 pts
- Share, last 3 months
- 0.1%
- Papers, last 3 months
- 30
- Ready for products
- 1.5 / 5
More in Optimization and automated machine learning
Bayesian optimization0.1% → 0.1%+0.0 ptsGradient conflict mitigation0.0% → 0.0%0.0 ptsDynamic programming0.0% → 0.0%0.0 ptsPrimal dual optimization0.0% → 0.0%0.0 ptsGradient projection0.0% → 0.0%0.0 ptsDistributionally robust optimization0.0% → 0.0%0.0 ptsZeroth order optimization0.1% → 0.1%0.0 ptsSymbolic regression0.0% → 0.0%0.0 ptsHyperparameter optimization0.1% → 0.1%0.0 ptsEvolutionary optimization0.0% → 0.0%0.0 pts
Stochastic gradient descent: quick answers
No. Its share of new AI papers went from 0.1% to 0.1%, with 30 papers in the last 3 months.