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Disambiguation of "Yu, Fengwei"

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The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

, , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (11): 13876-13892 (November 2023)

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Fengwei Wang

Fengwei Guo

Fengwei Li

Yu-Ting Yu

Yu-Yu Su

 

Other publications of authors with the same name

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization., , , , , , and . CoRR, (2020)Differentiable Dynamic Wirings for Neural Networks., , , , , , and . ICCV, page 317-326. IEEE, (2021)RobustART: Benchmarking Robustness on Architecture Design and Training Techniques., , , , , , , , , and 2 other author(s). CoRR, (2021)Forward and Backward Information Retention for Accurate Binary Neural Networks., , , , , , and . CVPR, page 2247-2256. Computer Vision Foundation / IEEE, (2020)Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks., , , , , , , and . ICCV, page 4851-4860. IEEE, (2019)Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm., , , , , , , and . CoRR, (2021)SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency., , , , , , , , , and 1 other author(s). CoRR, (2023)Diversifying Sample Generation for Accurate Data-Free Quantization., , , , , , , , and . CVPR, page 15658-15667. Computer Vision Foundation / IEEE, (2021)QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization., , , , and . ICLR, OpenReview.net, (2022)BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction., , , , , , , , and . ICLR, OpenReview.net, (2021)