Continual and domain adaptation
A research field
Continual and domain adaptation is losing ground in AI research: 1.8% to 1.7% of new AI papers, -0.1 points. It ranks #27 of 44 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.1 pts
- Share, last 3 months
- 1.7%
- Papers, last 3 months
- 576
- Ready for products
- 2.4 / 5
Ideas in this field
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 and domain adaptation: quick answers
No. Its share of new AI papers went from 1.8% to 1.7%, with 576 papers in the last 3 months.