It outperforms the state-of-the-art by a significant margin of 35% in activation suppression without compromising accuracy loss. Additionally, a case study for ...
Arts further increases activation-side sparsity by adaptively changing the penalty coefficient, while STAR combines activation regularization and thresholding ...
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | 979-8-3503-0249-3/23/$31.00 ©2023 IEEE | DOI: 10.1109/CVPRW59228.
This CVPR workshop paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted ...
STAR: Sparse thresholded activation under partial-regularization for activation sparsity exploration. Z Zhu, A Pourtaherian, L Waeijen, E Bondarev, O Moreira.
STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration · Sparsity 100% · Regularization 100% · Deep Neural Network 40 ...
Apr 25, 2024 · STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. CVPR Workshops 2023: 4554-4563. [c3].
Arts further increases activation-side sparsity by adaptively changing the penalty coefficient, while STAR combines activation regularization and thresholding ...
May 30, 2024 · Star: Sparse thresholded activation under partial-regularization for activation sparsity exploration. In 2023 IEEE/CVF Conference on ...
Z Zhu, A Pourtaherian, L Waeijen, E Bondarev, O Moreira, “STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity”, Exploration ...