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Are Shortest Rationales the Best Explanations for Human Understanding?


Mar 16, 2022
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao 'Kenneth' Huang

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* To appear in ACL 2022 main conference 

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Improving fairness in speaker verification via Group-adapted Fusion Network


Feb 23, 2022
Hua Shen, Yuguang Yang, Guoli Sun, Ryan Langman, Eunjung Han, Jasha Droppo, Andreas Stolcke

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* To appear in Proc. IEEE ICASSP 2022 

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Explaining the Road Not Taken


Mar 30, 2021
Hua Shen, Ting-Hao 'Kenneth' Huang

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* Accepted by The 2021 ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (CHI 2021 HCXAI Workshop). For associated website, see https://human-centered-exnlp.github.io 

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How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels


Aug 28, 2020
Hua Shen, Ting-Hao Kenneth Huang

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* Accepted by The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020) https://github.com/huashen218/GuessWrongLabel 

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Interpretable Deep Learning under Fire


Dec 03, 2018
Xinyang Zhang, Ningfei Wang, Shouling Ji, Hua Shen, Ting Wang

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