A novel Generalized Bayes Valuation framework applies generalized Bayesian inference with transferability-based losses to quantify data distribution values, solving annotator evaluation, data augmentation, and streaming data problems in a unified manner.
The initial learning rate is set to 10−4 and is linearly decayed by a factor of 10 every 10 epochs after the20th epoch
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Data Distribution Valuation Using Generalized Bayesian Inference
A novel Generalized Bayes Valuation framework applies generalized Bayesian inference with transferability-based losses to quantify data distribution values, solving annotator evaluation, data augmentation, and streaming data problems in a unified manner.