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BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models.

J. Yu, P. Jin, H. Liu, G. Bender, P. Kindermans, M. Tan, T. Huang, X. Song, R. Pang, and Q. Le. ECCV (7), volume 12352 of Lecture Notes in Computer Science, page 702-717. Springer, (2020)

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Mingxing Bai

Dao Tan

Albert Tan

Vivien Tan

Ming Tan

Other publications of authors with the same name

Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour.A. Wongpanich, H. Pham, J. Demmel, M. Tan, Q. Le, Y. You, and S. Kumar. IPDPS Workshops, page 947-950. IEEE, (2021)Flushing-Enabled Loop Pipelining for High-Level Synthesis.S. Dai, M. Tan, K. Hao, and Z. Zhang. DAC, page 76:1-76:6. ACM, (2014)An Energy-Efficient Branch Prediction with Grouped Global History.M. Huang, D. He, X. Liu, M. Tan, and X. Cheng. ICPP, page 140-149. IEEE Computer Society, (2015)CASA: correlation-aware speculative adders.G. Liu, Y. Tao, M. Tan, and Z. Zhang. ISLPED, page 189-194. ACM, (2014)ElasticFlow: A Complexity-Effective Approach for Pipelining Irregular Loop Nests.M. Tan, G. Liu, R. Zhao, S. Dai, and Z. Zhang. ICCAD, page 78-85. IEEE, (2015)DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.Y. Li, A. Yu, T. Meng, B. Caine, J. Ngiam, D. Peng, J. Shen, Y. Lu, D. Zhou, Q. Le and 2 other author(s). CVPR, page 17161-17170. IEEE, (2022)MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.Y. Xiong, H. Liu, S. Gupta, B. Akin, G. Bender, Y. Wang, P. Kindermans, M. Tan, V. Singh, and B. Chen. CVPR, page 3825-3834. Computer Vision Foundation / IEEE, (2021)Towards the Co-design of Neural Networks and Accelerators.Y. Zhou, X. Dong, T. Meng, M. Tan, B. Akin, D. Peng, A. Yazdanbakhsh, D. Huang, R. Narayanaswami, and J. Laudon. MLSys, mlsys.org, (2022)WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.K. Chen, R. Ge, H. Qiu, R. Ai-Rfou, C. Qi, X. Zhou, Z. Yang, S. Ettinger, P. Sun, Z. Leng and 5 other author(s). ICRA, page 4766-4773. IEEE, (2024)Bit-level optimization for high-level synthesis and FPGA-based acceleration.J. Zhang, Z. Zhang, S. Zhou, M. Tan, X. Liu, X. Cheng, and J. Cong. FPGA, page 59-68. ACM, (2010)

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Disambiguation of "Tan, Mingxing"

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BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models.

Please choose a person to relate this publication to

Mingxing Bai

Dao Tan

Albert Tan

Vivien Tan

Ming Tan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tan, Mingxing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models.

Please choose a person to relate this publication to

Mingxing Bai

Dao Tan

Albert Tan

Vivien Tan

Ming Tan

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models.