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cs.LG2022
TabMixer: Excavating Label Distribution Learning with Small-scale Features
Weiyi Cong, Zhuoran Zheng, Xiuyi Jia
Label distribution learning (LDL) differs from multi-label learning which aims at representing the polysemy of instances by transforming single-label values into descriptive degree…
cs.LG2022★ 1 cited
Label distribution learning via label correlation grid
Qimeng Guo, Zhuoran Zheng, Xiuyi Jia +1
Label distribution learning can characterize the polysemy of an instance through label distributions. However, some noise and uncertainty may be introduced into the label space whe…
cs.LG2022
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng, Xiuyi Jia
In contrast to multi-label learning, label distribution learning characterizes the polysemy of examples by a label distribution to represent richer semantics. In the learning proce…