Cita APA (7a ed.)

Fu, Y., Yang, H., Yuan, J., Li, M., Wan, C., Krishnamoorthi, R., . . . Lin, Y. C. (2022). DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.

Cita Chicago Style (17a ed.)

Fu, Yonggan, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, y Yingyan Celine Lin. DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. 2022.

Cita MLA (9a ed.)

Fu, Yonggan, et al. DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. 2022.

Precaución: Estas citas no son 100% exactas.