to OBD is the Optimal Brain Surgeon • No need to re-train after pruning • No restrictive assumptions like OBD • More effective and accurate (authors claim) Authors Conclusions • Decrease in the number of parameters by factor of four when OBD is used interactively • Decrease ...
更准确的掩码选择规则:论文建议使用更精确的掩码选择规则,例如Optimal Brain Surgeon中的方法,这可能会提高剪枝效果。 稀疏矩阵的高效更新规则:论文提出的算法提供了一个用于稀疏矩阵的高效更新规则,这可以被用于一些高级优化器,如FOOF(Fast Optimal One-Shot pruning Framework)。 算法的内存和时间效率:论文的主要限制在...
Massart, The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration, Anal. Chim. Acta 375 Z1998. 187-195.Poppi and Massart, 1998] Poppi, R. and Massart, D. (1998). The Optimal Brain Surgeon for pruning neural network architecture applied to ...
1) OBS(Optimal Brain Surgeon) OBS优化策略 2) optimization strategy 优化策略 1. Anoptimization strategyof NAM using raster scanning; 基于光栅扫描的NAM优化策略 2. Research on theoptimization strategyused when coping with queries; 查询处理过程中的优化策略研究 ...
Layer-wise Optimal Brain Surgeon This repo is for Layer-wise Optimal Brain Surgeon (L-OBS), which will appear in NIPS 2017. Codes are based on Tensorflow r1.0+ and PyTorch v0.3.0 Paper link: Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon News PyTorch version ...
摘要: In view of the high complexity of pruning algorithm for OBS (optimal brain surgery) process and the deficiency of its match usage with training algorithm, this paper presents a penalty OBS...关键词: neural network optimal brain surgeon procedure model conjugate gradient convergence network ...
1) multi-weights-optimal brain surgeon (MW-OBS) 多权重剪枝策略(MW-OBS) 2) pruning strategy 剪枝策略 1. This paper presents ESEquivPS extension support equivalency pruning strategy, a new search space pruning strategy for mining maximal frequent itemsets to effectively reduce the search space....
Optimal Brain Surgeon公式推导 里面公式推导。理解GPTQ需要 对于一个训练好了的神经网络,误差E是神经网络参数w的函数,达到了一个局部极小值,即一阶导数为0. 假设w的当前值为w0 那么,把误差E在w0处泰勒展开 (1)E(w)=E(w0)+∂E∂w|w=w0(w−w0)+12(w−w0)TH(w−w0)+ο(‖w−w0‖3) ...
一旦某一行的掩码M_i已知,即可用\delta_{M_i} = H_{:,M_i}^{-1} ((H^{-1}){M_i})^{-1} \bold w{M_i}进行权重的更新 掩码情况下权重更新的推导过程,具体参考The Optimal BERT Surgeon这篇论文,具体证明过程如下: 假设行中有Q个参数需要剪枝,那么原始问题就变为:...
Optimal Brain Damage (OBD) and Optimal Brain Surgeon (OBS) represent two popular pruning procedures; however, pruning large networks trained on voluminous data sets using these methods easily becomes intractable. We present a number of approximations and discuss practical issues in real-world pruning,...