Post training quantization
Post training quantization is losing ground in AI research: 0.2% to 0.2% of new AI papers, -0.0 points. It ranks #143 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.0 pts
- Share, last 3 months
- 0.2%
- Papers, last 3 months
- 70
- Ready for products
- 2.6 / 5
More in Efficient inference and compression
Kv cache reuse0.1% → 0.2%+0.1 ptsKv cache compression0.2% → 0.3%+0.1 ptsLoad balancing0.1% → 0.1%+0.1 ptsVisual token compression0.1% → 0.1%+0.1 ptsNeural network quantization0.0% → 0.1%+0.0 ptsDiffusion model acceleration0.2% → 0.2%+0.0 ptsStructured pruning0.1% → 0.1%+0.0 ptsMixed precision quantization0.1% → 0.1%+0.0 ptsVisual token pruning0.2% → 0.2%+0.0 ptsAdaptive computation0.2% → 0.2%+0.0 pts
Companies working on it
Post training quantization: quick answers
No. Its share of new AI papers went from 0.2% to 0.2%, with 70 papers in the last 3 months.