Dynamic Precision Scheduling
Cross-source consensus on Dynamic Precision Scheduling from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Evidence quality
Highlighted claims
- Dynamic Precision Scheduling adjusts the state-head precision based on uncertainty estimated through dropout variance. — Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection
- DPS triggered INT6 computation for 12.3% of validation inputs. — Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection
- The system amortizes uncertainty estimation over 5-second windows and caches it for 100 ms sub-windows to reduce overhead. — Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection
- Removing DPS reduced rho by 0.028 to 0.089 in ablation testing. — Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection
- On challenging subsets, DPS improved rho while maintaining average encoder-plus-state latency of 4.8 ms. — Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection