activity
20222026
most citedLearning to Classify Open Intent via Soft Labeling and Manifold Mixup

2 citations · 4 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CL2023

Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling

Zifeng Cheng, Qingyu Zhou, Zhiwei Jiang +3

Few-shot sequence labeling aims to identify novel classes based on only a few labeled samples. Existing methods solve the data scarcity problem mainly by designing token-level or s…

cs.CV2023★ 1 cited

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning

Cong Wang, Zhiwei Jiang, Yafeng Yin +3

For deep ordinal classification, learning a well-structured feature space specific to ordinal classification is helpful to properly capture the ordinal nature among classes. Intuit…