1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
SDiT: Spiking Diffusion Model with Transformer
Shu Yang, Hanzhi Ma, Chengting Yu +2
Spiking neural networks (SNNs) have low power consumption and bio-interpretable characteristics, and are considered to have tremendous potential for energy-efficient computing. How…
cs.LG2023
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply
Chengting Yu, Fengzhao Zhang, Hanzhi Ma +2
Traditional end-to-end (E2E) training of deep networks necessitates storing intermediate activations for back-propagation, resulting in a large memory footprint on GPUs and restric…