34 citations · 112 across the 10 of their papers we have counts for
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cs.AI2021★ 26 cited
Uncertainty-Aware Reliable Text Classification
Yibo Hu, Latifur Khan
Deep neural networks have significantly contributed to the success in predictive accuracy for classification tasks. However, they tend to make over-confident predictions in real-wo…
cs.IR2021★ 2 cited
SetConv: A New Approach for Learning from Imbalanced Data
Yang Gao, Yi-Fan Li, Yu Lin +2
For many real-world classification problems, e.g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (…
cs.LG2021★ 11 cited
Towards Self-Adaptive Metric Learning On the Fly
Yang Gao, Yi-Fan Li, Swarup Chandra +2
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn…