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Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

Oct 17, 2020
Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik


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On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators

Jul 28, 2020
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin

* 23 pages, 10 figures 

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Impact of Bias on School Admissions and Targeted Interventions

Apr 22, 2020
Yuri Faenza, Swati Gupta, Xuan Zhang


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Machine Translation System Selection from Bandit Feedback

Feb 22, 2020
Jason Naradowsky, Xuan Zhang, Kevin Duh


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Quaternion Product Units for Deep Learning on 3D Rotation Groups

Dec 17, 2019
Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu


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Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices

Nov 28, 2019
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

* 7 pages, ICCAD 2019 

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Attacking Vision-based Perception in End-to-End Autonomous Driving Models

Oct 02, 2019
Adith Boloor, Karthik Garimella, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang

* under review in the Journal of Systems Architecture 2019. arXiv admin note: substantial text overlap with arXiv:1903.05157 

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The Architectural Implications of Facebook's DNN-based Personalized Recommendation

Jun 18, 2019
Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang

* 11 pages 

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Curriculum Learning for Domain Adaptation in Neural Machine Translation

May 14, 2019
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh


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A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

May 10, 2019
K. Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin

* 14 pages 

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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

Mar 12, 2019
Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang


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An Empirical Exploration of Curriculum Learning for Neural Machine Translation

Nov 02, 2018
Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J Martindale, Paul McNamee, Kevin Duh, Marine Carpuat


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SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification

Oct 16, 2018
Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang

* accepted by ACCV 2018 

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AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference

May 21, 2018
Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang

* In International Symposium on Low Power Electronics and Design (ISLPED) 2018 

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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

Jan 31, 2018
Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun

* 9 pages, 8 figures 

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Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project

Dec 27, 2017
Zhimeng Zhang, Jianan Wu, Xuan Zhang, Chi Zhang

* 4 pages, 1 figure 

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