235 citations · 461 across the 9 of their papers we have counts for
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cs.LG2022★ 26 cited
ZLPR: A Novel Loss for Multi-label Classification
Jianlin Su, Mingren Zhu, Ahmed Murtadha +3
In the era of deep learning, loss functions determine the range of tasks available to models and algorithms. To support the application of deep learning in multi-label classificati…
cs.LG2021★ 6 cited
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang +4
The softmax function is widely used in artificial neural networks for the multiclass classification problems, where the softmax transformation enforces the output to be positive an…