Stochastic Attention accepted at NeurIPS: samples attention at inference for calibrated uncertainty
Fowe · x · 2026-09-25
The "Stochastic Attention" paper has been accepted to NeurIPS. The method samples attention at inference time and tunes a single parameter, yielding calibrated uncertainty estimates without any retraining. The authors will present it at NeurIPS in Sydney.
More from Research
- Dharmamitra releases Tibetan and Sanskrit lexicons as free Stardict and Apple Dictionary files — SebastianNehrd2 · 2026-09-26
- BTL claims 'Interference Search' architecture lifts 1.7B model from 3/30 to 23/30 on hard problems — CatAstro_Piyush · 2026-09-26
- Chai-2 Hits 16% on De Novo Antibody Design: 20 Designs per Target, Every Hit Wet-Lab Confirmed — le_james94 · 2026-09-26
- With 60k ICLR abstracts, a researcher mourns LLM-generated figures homogenizing papers — mariyaivasileva · 2026-09-26
- AWS Walkthrough: SkyRL GRPO on HyperPod Lifts Qwen3-VL Maze Solve Rate From 43.75% to 95%+ — AWS ML Blog · 2026-09-26
- CMU Brings 2 Tutorials and 19 Papers to Interspeech 2026 in Sydney — shinjiw_at_cmu · 2026-09-26