no code implementations • 21 Aug 2023 • Xiaona Sun, Zhenyu Wu, Yichen Liu, Saier Hu, ZhiQiang Zhan, Yang Ji
Unsupervised Domain Adaptation (UDA) approaches address the covariate shift problem by minimizing the distribution discrepancy between the source and target domains, assuming that the label distribution is invariant across domains.
no code implementations • 16 Aug 2023 • Jialin Guo, Zhenyu Wu, ZhiQiang Zhan, Yang Ji
Moreover, we noticed that the traditional calibration evaluation metric, Excepted Calibration Error (ECE), gives a higher weight to low-confidence samples in the minority classes, which leads to inaccurate evaluation of model calibration.
no code implementations • 4 May 2020 • Zhiqiang Zhan, Zifeng Hou, Yang Zhang
Most generation models are based on language models.