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2022 5th International Conference on Artificial Intelligence for Industries (AI4I)最新文献

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Message from the AI4I 2022 General Co-Chairs ai4i2022全体共同主席致辞
Pub Date : 2022-09-01 DOI: 10.1109/ai4i54798.2022.00005
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引用次数: 0
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method 量化感知训练中的信道修剪:一种自适应投影梯度下降收缩分割方法
Pub Date : 2022-04-09 DOI: 10.1109/AI4I54798.2022.00015
Zhijian Li, J. Xin
We propose an adaptive projection-gradient descentshrinkage- splitting method (APGDSSM) to integrate penalty based channel pruning into quantization-aware training (QAT). APGDSSM concurrently searches weights in both the quantized subspace and the sparse subspace. APGDSSM uses shrinkage operator and a splitting technique to create sparse weights, as well as the Group Lasso penalty to push the weight sparsity into channel sparsity. In addition, we propose a novel complementary transformed l1 penalty to stabilize the training for extreme compression.
我们提出了一种自适应投影梯度下降收缩分裂方法(APGDSSM),将基于惩罚的信道修剪整合到量化感知训练(QAT)中。APGDSSM同时在量化子空间和稀疏子空间中搜索权值。APGDSSM使用收缩运算符和分割技术来创建稀疏权值,并使用Group Lasso惩罚将权值稀疏性推入信道稀疏性。此外,我们提出了一种新的互补变换l1惩罚来稳定极端压缩训练。
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引用次数: 0
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2022 5th International Conference on Artificial Intelligence for Industries (AI4I)
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