B. Zheng

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation

2022 · arXiv (Cornell University)

In online advertising, conventional post-click conversion rate (CVR) estimation models are trained using clicked samples. However, during online serving the models need to estimate for all impression ads, leading to the sample selection bias (SSB) …

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding

2025 · arXiv (Cornell University)

RNN-T-based keyword spotting (KWS) with autoregressive decoding~(AR) has gained attention due to its streaming architecture and superior performance. However, the simplicity of the prediction network in RNN-T poses an overfitting issue, especially under challenging scenarios, …