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Visual correspondence-based explanations improve AI robustness and human-AI team accuracy


Aug 02, 2022
Giang Nguyen, Mohammad Reza Taesiri, Anh Nguyen


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Manas: Mining Software Repositories to Assist AutoML


Dec 06, 2021
Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan


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IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners


Sep 23, 2021
Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg

* 8 pages, 9 figures, conference 

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The effectiveness of feature attribution methods and its correlation with automatic evaluation scores


Jun 23, 2021
Giang Nguyen, Daeyoung Kim, Anh Nguyen


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Explaining How Deep Neural Networks Forget by Deep Visualization


May 03, 2020
Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim

* 9 pages, 4 figures, 1 table. arXiv admin note: substantial text overlap with arXiv:2001.01578 

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Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization


Jan 07, 2020
Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim

* 8 pages, 6 figures, 3 tables 

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ContCap: A comprehensive framework for continual image captioning


Sep 19, 2019
Giang Nguyen, Tae Joon Jun, Trung Tran, Daeyoung Kim

* 9 pages, 5 figures 

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A Comprehensive Study on Deep Learning Bug Characteristics


Jun 03, 2019
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan

* The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) (Aug. 2019) 

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Temporal Network Representation Learning


Apr 12, 2019
John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim


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