3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2024
PQD: Post-training Quantization for Efficient Diffusion Models
Jiaojiao Ye, Zhen Wang, Linnan Jiang
Diffusionmodels(DMs)havedemonstratedremarkableachievements in synthesizing images of high fidelity and diversity. However, the extensive computational requirements and slow generat…
cs.CL2024★ 3 cited
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Luping Wang, Sheng Chen, Linnan Jiang +4
The large models, as predicted by scaling raw forecasts, have made groundbreaking progress in many fields, particularly in natural language generation tasks, where they have approa…