2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
Alireza Ganjdanesh, Yan Kang, Yuchen Liu +3
Diffusion probabilistic models can generate high-quality samples. Yet, their sampling process requires numerous denoising steps, making it slow and computationally intensive. We pr…
cs.CV2022★ 2 cited
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Convolutional Neural Networks (CNNs) compression is crucial to deploying these models in edge devices with limited resources. Existing channel pruning algorithms for CNNs have achi…