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20202026
most citedTowards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty

5 citations · 9 across the 11 of their papers we have counts for

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2 papers · 1 filter

cs.CL2023

Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks

Zeming Wei, Xiyue Zhang, Yihao Zhang +1

Recurrent Neural Networks (RNNs) have achieved tremendous success in processing sequential data, yet understanding and analyzing their behaviours remains a significant challenge. T…

cs.CL2022

Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages

Zeming Wei, Xiyue Zhang, Meng Sun

Recurrent Neural Networks (RNNs) have achieved tremendous success in sequential data processing. However, it is quite challenging to interpret and verify RNNs' behaviors directly.…