Continual learning
Part of Continual and domain adaptation
Continual learning is losing ground in AI research: 0.8% to 0.6% of new AI papers, -0.1 points. It ranks #212 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.1 pts
- Share, last 3 months
- 0.6%
- Papers, last 3 months
- 217
- Ready for products
- 2.3 / 5
More in Continual and domain adaptation
Test time adaptation0.2% → 0.2%+0.0 ptsDomain adaptation0.2% → 0.2%+0.0 ptsDistribution shift robustness0.0% → 0.0%0.0 ptsDomain generalization0.1% → 0.1%0.0 ptsCross domain transfer learning0.0% → 0.0%0.0 ptsLifelong learning0.0% → 0.0%0.0 ptsTest time training0.0% → 0.0%0.0 ptsTest time augmentation0.0% → 0.0%0.0 ptsDistribution matching0.0% → 0.0%0.0 ptsElastic weight consolidation0.0% → 0.0%0.0 pts
Companies working on it
Continual learning: quick answers
No. Its share of new AI papers went from 0.8% to 0.6%, with 217 papers in the last 3 months.