Artikel dengan mandat akses publik - Mengnan DuPelajari lebih lanjut
Tidak tersedia di mana pun: 6
Representation interpretation with spatial encoding and multimodal analytics
N Liu, M Du, X Hu
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
Mandat: US National Science Foundation, US Department of Defense
Learning credible DNNs via incorporating prior knowledge and model local explanation
M Du, N Liu, F Yang, X Hu
Knowledge and Information Systems 63, 305-332, 2021
Mandat: US National Science Foundation
Supervised training and contextually guided salient object detection
M Du, X Wu, W Chen, Z Li
Digital Signal Processing 63, 44-55, 2017
Mandat: National Natural Science Foundation of China
Exploiting multiple contexts for saliency detection
M Du, X Wu, W Chen, J Wang
Journal of Electronic Imaging 25 (6), 063005-063005, 2016
Mandat: National Natural Science Foundation of China
Exploiting deep convolutional network and patch-level CRFs for indoor semantic segmentation
X Wu, M Du, W Chen, Z Li
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016
Mandat: National Natural Science Foundation of China
Fusing region contrast and graph regularization for saliency detection
M Du, X Wu, W Chen, J Wang
The 27th Chinese Control and Decision Conference (2015 CCDC), 5789-5794, 2015
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 36
Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
Mandat: US National Science Foundation, US Department of Defense
Score-CAM: score-weighted visual explanations for convolutional neural networks
H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu
CVPR Workshops, 111-119, 2020
Mandat: US National Science Foundation, US Department of Defense
Fairness in deep learning: A computational perspective
M Du, F Yang, N Zou, X Hu
IEEE Intelligent Systems 36 (4), 25-34, 2020
Mandat: US National Science Foundation, US Department of Defense
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Mandat: US National Science Foundation, US Department of Defense
Towards explanation of dnn-based prediction with guided feature inversion
M Du, N Liu, Q Song, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Mandat: US National Science Foundation, US Department of Defense
Xfake: Explainable fake news detector with visualizations
F Yang, SK Pentyala, S Mohseni, M Du, H Yuan, R Linder, ED Ragan, S Ji, ...
The world wide web conference, 3600-3604, 2019
Mandat: US Department of Defense
Towards generalizable deepfake detection with locality-aware autoencoder
M Du, S Pentyala, Y Li, X Hu
Proceedings of the 29th ACM international conference on information …, 2020
Mandat: US National Science Foundation, US Department of Defense
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
Proceedings of the 28th ACM international conference on information and …, 2019
Mandat: US National Science Foundation
Fairness via representation neutralization
M Du, S Mukherjee, G Wang, R Tang, A Awadallah, X Hu
Advances in Neural Information Processing Systems 34, 12091-12103, 2021
Mandat: US National Science Foundation
Mitigating gender bias in captioning systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
Proceedings of the Web Conference 2021, 633-645, 2021
Mandat: US National Science Foundation
On attribution of recurrent neural network predictions via additive decomposition
M Du, N Liu, F Yang, S Ji, X Hu
The world wide web conference, 383-393, 2019
Mandat: US National Science Foundation, US Department of Defense
Learning credible deep neural networks with rationale regularization
M Du, N Liu, F Yang, X Hu
2019 IEEE International Conference on Data Mining (ICDM), 150-159, 2019
Mandat: US National Science Foundation, US Department of Defense
Machine learning explanations to prevent overtrust in fake news detection
S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ...
Proceedings of the international AAAI conference on web and social media 15 …, 2021
Mandat: US National Science Foundation, US Department of Defense
Towards learning disentangled representations for time series
Y Li, Z Chen, D Zha, M Du, J Ni, D Zhang, H Chen, X Hu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Mandat: US National Science Foundation
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