FairNVT injects calibrated noise into sensitive embeddings of transformer encoders to jointly improve representation-level and prediction-level fairness metrics without degrading task performance.
The adapter architecture uses a reduction factor of 8 for the task branch and 16 for the sensitive branch
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FairNVT: Improving Fairness via Noise Injection in Vision Transformers
FairNVT injects calibrated noise into sensitive embeddings of transformer encoders to jointly improve representation-level and prediction-level fairness metrics without degrading task performance.