Weak supervision
Weak supervision is losing ground in AI research: 0.1% to 0.1% of new AI papers, -0.0 points. It ranks #157 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
- 33
- Ready for products
- 2.6 / 5
More in Self-supervised and weakly supervised learning
Self supervised representation learning0.2% → 0.2%+0.0 ptsConsistency model0.0% → 0.0%0.0 ptsSelf training0.0% → 0.0%0.0 ptsMasked language modeling0.0% → 0.0%0.0 ptsSelf supervised learning0.0% → 0.1%0.0 ptsSemi supervised learning0.1% → 0.1%0.0 ptsMasked image modeling0.0% → 0.0%0.0 ptsSelf supervised pretraining0.1% → 0.0%0.0 ptsPseudo labeling0.0% → 0.1%0.0 ptsConsistency regularization0.0% → 0.0%0.0 pts
Companies working on it
Weak supervision: quick answers
No. Its share of new AI papers went from 0.1% to 0.1%, with 33 papers in the last 3 months.