notesum.ai
Published at December 9DSAI: Unbiased and Interpretable Latent Feature Extraction for Data-Centric AI
cs.LG
cs.AI
Released Date: December 9, 2024
Authors: Hyowon Cho1, Soonwon Ka2, Daechul Park2, Jaewook Kang2, Minjoon Seo1, Bokyung Son2
Aff.: 1KAIST AI; 2NAVER AI Platform

| Reference Criteria | Comparison Criteria | Recall (%) | |
| Slogan | Title | ||
| FlippedPosData | PosData | 89.5% | 94.1% |
| FlippedMixedData | MixedData | 81.8% | 89.5% |
| NoData | PosData | 100.0% | 95.6% |
| MixedData | 100.0% | 92.3% | |
| FlippedPosData | 90.0% | 94.1% | |
| FlippedMixedData | 96.4% | 85.2% | |
| Expert | NoData | 88.9% | 83.3% |
| PosData | 66.7% | 54.2% | |
| MixedData | 50.0% | 75.0% | |
| FlippedPosData | 94.4% | 45.8% | |
| FlippedMixedData | 77.8% | 83.3% | |
| DSAI (Thres: [0]) | 100.0% | 83.3% | |
| DSAI (Thres: [0.348]) | 88.9% | 83.3% | |
| DSAI (Thres: [0.692]) | 77.8% | 75.0% | |