3 papers
cs.CL2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Tong Ye, Shijing Si, Jianzong Wang +3
Deep neural retrieval models have amply demonstrated their power but estimating the reliability of their predictions remains challenging. Most dialog response retrieval models outp…
cs.IR2022
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation
Zhitao Zhu, Shijing Si, Jianzong Wang +2
Deep neural networks can capture the intricate interaction history information between queries and documents, because of their many complicated nonlinear units, allowing them to pr…
cs.SD2022
Uncertainty Calibration for Deep Audio Classifiers
Tong Ye, Shijing Si, Jianzong Wang +2
Although deep Neural Networks (DNNs) have achieved tremendous success in audio classification tasks, their uncertainty calibration are still under-explored. A well-calibrated model…