Cite
Training with scaled logits to alleviate class-level over-fitting in few-shot learning.
MLA
Wang, Rui-Qi, et al. “Training with Scaled Logits to Alleviate Class-Level over-Fitting in Few-Shot Learning.” Neurocomputing, vol. 522, Feb. 2023, pp. 142–51. EBSCOhost, https://doi.org/10.1016/j.neucom.2022.12.011.
APA
Wang, R.-Q., Zhu, F., Zhang, X.-Y., & Liu, C.-L. (2023). Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing, 522, 142–151. https://doi.org/10.1016/j.neucom.2022.12.011
Chicago
Wang, Rui-Qi, Fei Zhu, Xu-Yao Zhang, and Cheng-Lin Liu. 2023. “Training with Scaled Logits to Alleviate Class-Level over-Fitting in Few-Shot Learning.” Neurocomputing 522 (February): 142–51. doi:10.1016/j.neucom.2022.12.011.