15 citations · 61 across the 13 of their papers we have counts for
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cs.CL2022★ 7 cited
Efficient Long Sequence Modeling via State Space Augmented Transformer
Simiao Zuo, Xiaodong Liu, Jian Jiao +4
Transformer models have achieved superior performance in various natural language processing tasks. However, the quadratic computational cost of the attention mechanism limits its…
cs.LG2022★ 2 cited
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li, Wei Shen, Denis Charles
In this paper, we propose TEDL, a two-stage learning approach to quantify uncertainty for deep learning models in classification tasks, inspired by our findings in experimenting wi…