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Enhancing Diversity for Data-free Quantization
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Model quantization is an effective way to compress deep neural networks and accelerate the inference time on edge devices. Existing quantization methods usually require original data for calibration during the compressing process, which may be inaccessible due to privacy issues.
Kai Zhao 0009 +5 more
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Log-Free Concurrent Data Structures.
2018Non-volatile RAM (NVRAM) makes it possible for data structures to tolerate transient failures, assuming however that programmers have designed these structures such that their consistency is preserved upon recovery. Previous approaches are typically transactional and inherently make heavy use of logging, resulting in implementations that are ...
Tudor David +3 more
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Carrier-free nanomedicines for cancer treatment
Progress in Materials Science, 2022Xian-Zheng Zhang, Li-Han Liu
exaly
Crack-free single-crystalline Co-free Ni-rich LiNiMnO layered cathode
EScience, 2022Hongshuai Hou, Jun Chen, Xiaobo Ji
exaly
Natural Joins for Schema-free Data
2021 IEEE International Conference on Big Data (Big Data), 2021Damjan Gjurovski, Sebastian Michel 0001
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Lead-Free Perovskite Materials for Solar Cells
Nano-Micro Letters, 2021Wei Huang, Wei Shen, Lihui Liu
exaly
Cancer clinics: Clinicopathological conference, free hospital for women, brookline, massachusetts
Ca-A Cancer Journal for Clinicians, 1955Arthur T Hertig
exaly
Transmission of a malignant new growth by means of a cell-free filtrate†
Ca-A Cancer Journal for Clinicians, 1972Peyton Rous, Peyton Rous
exaly