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Mingxing Tan
Mingxing Tan
Waymo Research, Google Brain
Bestätigte E-Mail-Adresse bei google.com
Titel
Zitiert von
Zitiert von
Jahr
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International conference on machine learning, 6105-6114, 2019
188942019
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
67712019
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
56772020
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
32822019
Efficientnetv2: Smaller models and faster training
M Tan, QV Le
International Conference on Machine Learning, 2021
21392021
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
9802021
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
5642020
MixConv: Mixed Depthwise Convolutional Kernels
M Tan, QV Le
Proceedings of the 30th British Machine Vision Conference (BMVC), 2019
4282019
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
3302021
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
2802020
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
2302020
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, B Wu, Y Lu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2232022
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
2092021
Smooth adversarial training
C Xie, M Tan, B Gong, A Yuille, QV Le
arXiv preprint arXiv:2006.14536, 2020
1642020
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
1402021
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Z Leng, M Tan, C Liu, ED Cubuk, J Shi, S Cheng, D Anguelov
International Conference on Learning Representations, 2022
1272022
Combined scaling for zero-shot transfer learning
H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ...
Neurocomputing, 126658, 2023
1232023
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
1102020
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
1012020
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
792020
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