Следене
Mingxing Tan
Mingxing Tan
Waymo Research, Google Brain
Потвърден имейл адрес: google.com
Заглавие
Позовавания
Позовавания
Година
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International conference on machine learning, 6105-6114, 2019
107742019
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
35932019
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
30232020
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
23792019
Efficientnetv2: Smaller models and faster training
M Tan, QV Le
International Conference on Machine Learning, 2021
6972021
Coatnet: Marrying convolution and attention for all data sizes
Z Dai, H Liu, QV Le, M Tan
Advances in Neural Information Processing Systems 34, 3965-3977, 2021
4262021
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
3652020
MixConv: Mixed Depthwise Convolutional Kernels
M Tan, QV Le
Proceedings of the 30th British Machine Vision Conference (BMVC), 2019
2822019
Efficientnet: Rethinking model scaling for convolutional neural networks. arXiv 2019
M Tan, QV Le
arXiv preprint arXiv:1905.11946, 2020
2272020
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, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1792020
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
1672020
Nyströmformer: A nyström-based algorithm for approximating self-attention
Y Xiong, Z Zeng, R Chakraborty, M Tan, G Fung, Y Li, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14138 …, 2021
1562021
Smooth adversarial training
C Xie, M Tan, B Gong, A Yuille, QV Le
arXiv preprint arXiv:2006.14536, 2020
1252020
Efficientnet: rethinking model scaling for convolutional neural networks (2019)
M Tan, QV Le
arXiv preprint arXiv:1905.11946, 1905
1001905
Movinets: Mobile video networks for efficient video recognition
D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, B Gong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
932021
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
862021
Assemblenet: Searching for multi-stream neural connectivity in video architectures
MS Ryoo, AJ Piergiovanni, M Tan, A Angelova
International Conference on Learning Representations (ICLR), 2020
862020
Shape-texture debiased neural network training
Y Li, Q Yu, M Tan, J Mei, P Tang, W Shen, A Yuille, C Xie
International Conference on Learning Representations (ICLR), 2020
652020
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
572015
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
562020
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