Mingxing Tan
Mingxing Tan
Google Brain
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
30802019
Mnasnet: Platform-aware neural architecture search for mobile
M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
11992019
Searching for mobilenetv3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
10012019
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
6672020
Adversarial examples improve image recognition
C Xie, M Tan, B Gong, J Wang, AL Yuille, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1462020
MixConv: Mixed Depthwise Convolutional Kernels
M Tan, QV Le
Proceedings of the 30th British Machine Vision Conference (BMVC), 2019
1242019
Bignas: Scaling up neural architecture search with big single-stage models
J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ...
European Conference on Computer Vision, 702-717, 2020
552020
SpineNet: Learning scale-permuted backbone for recognition and localization
X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
552020
Elasticflow: A complexity-effective approach for pipelining irregular loop nests
M Tan, G Liu, R Zhao, S Dai, Z Zhang
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 78-85, 2015
462015
Assemblenet: Searching for multi-stream neural connectivity in video architectures
MS Ryoo, AJ Piergiovanni, M Tan, A Angelova
arXiv preprint arXiv:1905.13209, 2019
442019
Evolutionary-Neural Hybrid Agents for Architecture Search
K Maziarz, A Khorlin, Q de Laroussilhe, S Jastrzębski, M Tan, ...
arXiv preprint arXiv:1811.09828, 2018
39*2018
Smooth adversarial training
C Xie, M Tan, B Gong, A Yuille, QV Le
arXiv preprint arXiv:2006.14536, 2020
362020
Architectural specialization for inter-iteration loop dependence patterns
S Srinath, B Ilbeyi, M Tan, G Liu, Z Zhang, C Batten
2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 583-595, 2014
362014
Multithreaded pipeline synthesis for data-parallel kernels
M Tan, B Liu, S Dai, Z Zhang
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 718-725, 2014
322014
Flushing-enabled loop pipelining for high-level synthesis
S Dai, M Tan, K Hao, Z Zhang
2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2014
292014
Search to distill: Pearls are everywhere but not the eyes
Y Liu, X Jia, M Tan, R Vemulapalli, Y Zhu, B Green, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
262020
Efficientnetv2: Smaller models and faster training
M Tan, QV Le
arXiv preprint arXiv:2104.00298, 2021
192021
Area-efficient pipelining for FPGA-targeted high-level synthesis
R Zhao, M Tan, S Dai, Z Zhang
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
182015
Mobiledets: Searching for object detection architectures for mobile accelerators
Y Xiong, H Liu, S Gupta, B Akin, G Bender, Y Wang, PJ Kindermans, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
Nystr\" omformer: A Nystr\" om-Based Algorithm for Approximating Self-Attention
Y Xiong, Z Zeng, R Chakraborty, M Tan, G Fung, Y Li, V Singh
arXiv preprint arXiv:2102.03902, 2021
142021
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