105 citations · 286 across the 26 of their papers we have counts for
4 papers · 1 filter
Learning to Rectify for Robust Learning with Noisy Labels
Haoliang Sun, Chenhui Guo, Qi Wei +2
Label noise significantly degrades the generalization ability of deep models in applications. Effective strategies and approaches, \textit{e.g.} re-weighting, or loss correction, a…
Learning Transferable Parameters for Unsupervised Domain Adaptation
Zhongyi Han, Haoliang Sun, Yilong Yin
Unsupervised domain adaptation (UDA) enables a learning machine to adapt from a labeled source domain to an unlabeled domain under the distribution shift. Thanks to the strong repr…
Attentional Prototype Inference for Few-Shot Segmentation
Haoliang Sun, Xiankai Lu, Haochen Wang +4
This paper aims to address few-shot segmentation. While existing prototype-based methods have achieved considerable success, they suffer from uncertainty and ambiguity caused by li…
Search for the rare semi-leptonic decay
BESIII Collaboration, M. Ablikim, M. N. Achasov +503
Using events produced by the Beijing Electron Positron Collider (BEPCII) at a center-of-mass energy and collected with the BESIII…