6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2026
When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
Shuqi Liu, Yuzhou Cao, Lei Feng +2
Learning to Defer (L2D) enables a classifier to abstain from predictions and defer to an expert, and has recently been extended to multi-expert settings. In this work, we show that…
cs.LG2025
Conformal Prediction Meets Long-tail Classification
Shuqi Liu, Jianguo Huang, Luke Ong
Conformal Prediction (CP) is a popular method for uncertainty quantification that converts a pretrained model's point prediction into a prediction set, with the set size reflecting…
stat.ML2020★ 6 cited
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
Yuzhou Cao, Shuqi Liu, Yitian Xu
A weakly-supervised learning framework named as complementary-label learning has been proposed recently, where each sample is equipped with a single complementary label that denote…