1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.ET2025
Gradients of unitary optical neural networks using parameter-shift rule
Jinzhe Jiang, Yaqian Zhao, Xin Zhang +3
This paper explores the application of the parameter-shift rule (PSR) for computing gradients in unitary optical neural networks (UONNs). While backpropagation has been fundamental…
cs.CV2023
SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition
Binqiang Wang, Gang Dong, Yaqian Zhao +3
In the field of affective computing, researchers in the community have promoted the performance of models and algorithms by using the complementarity of multimodal information. How…
cs.LG2023★ 1 cited
Distribution-restrained Softmax Loss for the Model Robustness
Hao Wang, Chen Li, Jinzhe Jiang +3
Recently, the robustness of deep learning models has received widespread attention, and various methods for improving model robustness have been proposed, including adversarial tra…