Yiren (Aaron) Zhao
Yiren (Aaron) Zhao
Bestätigte E-Mail-Adresse bei cam.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Dynamic Channel Pruning: Feature Boosting and Suppression
X Gao, Y Zhao, L Dudziak, R Mullins, C Xu
International Conference on Learning Representations (ICLR), 2019
842019
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
Y Zhao, I Shumailov, R Mullins, R Anderson
The Conference on Systems and Machine Learning (SysML), 2018
232018
Redundancy-reduced MobileNet acceleration on reconfigurable logic for ImageNet classification
J Su, J Faraone, J Liu, Y Zhao, DB Thomas, PHW Leong, PYK Cheung
International Symposium on Applied Reconfigurable Computing, 16-28, 2018
192018
An efficient implementation of online arithmetic
Y Zhao, J Wickerson, GA Constantinides
2016 International Conference on Field-Programmable Technology (FPT), 69-76, 2016
122016
Focused quantization for sparse CNNs
Y Zhao, X Gao, D Bates, R Mullins, CZ Xu
Advances in Neural Information Processing Systems, 5584-5593, 2019
112019
Pay Attention to Features, Transfer Learn Faster CNNs
K Wang, X Gao, Y Zhao, X Li, D Dou, CZ Xu
International Conference on Learning Representations, 2020
102020
Blackbox attacks on reinforcement learning agents using approximated temporal information
Y Zhao, I Shumailov, H Cui, X Gao, R Mullins, R Anderson
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020
82020
Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs
Y Zhao, X Gao, X Guo, J Liu, E Wang, R Mullins, PYK Cheung, ...
2019 International Conference on Field-Programmable Technology (ICFPT), 45-53, 2019
82019
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks
Y Zhao, X Gao, R Mullins, C Xu
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep …, 2018
82018
Towards certifiable adversarial sample detection
I Shumailov, Y Zhao, R Mullins, R Anderson
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020
72020
Sponge Examples: Energy-Latency Attacks on Neural Networks
I Shumailov, Y Zhao, D Bates, N Papernot, R Mullins, R Anderson
arXiv preprint arXiv:2006.03463, 2020
72020
Characterizing Sources of Ineffectual Computations in Deep Learning Networks
M Nikolić, M Mahmoud, A Moshovos, Y Zhao, R Mullins
2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019
72019
The Taboo Trap: Behavioural Detection of Adversarial Samples
I Shumailov, Y Zhao, R Mullins, R Anderson
arXiv preprint arXiv:1811.07375, 2018
62018
Sitatapatra: Blocking the Transfer of Adversarial Samples
I Shumailov, X Gao, Y Zhao, R Mullins, R Anderson, CZ Xu
arXiv preprint arXiv:1901.08121, 2019
52019
Probabilistic Dual Network Architecture Search on Graphs
Y Zhao, D Wang, X Gao, R Mullins, P Lio, M Jamnik
arXiv preprint arXiv:2003.09676, 2020
22020
Nudge Attacks on Point-Cloud DNNs
Y Zhao, I Shumailov, R Mullins, R Anderson
arXiv preprint arXiv:2011.11637, 2020
12020
Learned Low Precision Graph Neural Networks
Y Zhao, D Wang, D Bates, R Mullins, M Jamnik, P Lio
arXiv preprint arXiv:2009.09232, 2020
2020
Adjusting activation compression for neural network training
D Lo, BD Rouhani, ES Chung, Y Zhao, A Phanishayee, R Zhao
US Patent App. 16/276,395, 2020
2020
Neural network activation compression with non-uniform mantissas
D Lo, A Phanishayee, ES Chung, Y Zhao
US Patent App. 16/256,998, 2020
2020
Neural network activation compression with outlier block floating-point
D Lo, A Phanishayee, ES Chung, Y Zhao, R Zhao
US Patent App. 16/237,202, 2020
2020
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