但是如果卡不够,应用又没有时间限制,那么LIME是比gradient-based methods有优势的,因为不用反向传播,GPU只要走前向就可以了。 经过实验,LIME的采样点在1000个左右时在LLAMA-2的解释上效果很好,前提是sequence不能太长。当采样点足够时,LIME的效果比IG更好。注意,如果要把LIME用在language上,那么每个word的所有...
软件默认的是Least Squares Cell-Based方法,而且相信很多人在仿真时候,对于Gradient的离散方法都是采用默认的。 Gradients梯度需要离散的必要性不单单是为了在网格表面构建标量值,而且还是为了计算二次扩散项和速度导数的需要。 1. Green-Gauss Cell-Based Green-Gauss Cell-Based,顾名思义,基于网格中心(Cell-Based)计...
软件默认的是Least Squares Cell-Based方法,而且相信很多人在仿真时候,对于Gradient的离散方法都是采用默认的。 Gradients梯度需要离散的必要性不单单是为了在网格表面构建标量值,而且还是为了计算二次扩散项和速度导数的需要。 1. Green-Gauss Cell-Based Green-Gauss ...
As an alternative to these gradient-based methods, Powell's method is a gradient-free alternative for registration optimization. It uses iterative line search minimizations to find optimal values of individual variables i and determine the next step with a scalar variable αi. (24)xt+1=xt−∑...
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both per-deletion run-time and steady-...
Thresholding-based method classifies pixels into different regions by gray thresholding, thereby labeling different regions in an image. Thresholds can be obtained by a parametric or non-parametric method from the probability density function of gray histogram. The parametric methods have a large amount...
DeepExplain supports several methods. The main partition is betweengradient-based methodsandperturbation-based methods. The former are faster, given that they estimate attributions with a few forward and backward iterations through the network. The latter perturb the input and measure the change in out...
A new learning paradigm, called Graph Transformer Networks (GTN), allows such multi-module systems to be trained globally using Gradient-Based methods so as to minimize an overall performance measure. 现实生活中的文档识别系统是由多个模块组成的,包括字段提取、分割、识别和语言建模。一种新的学习范式...
即没有action value的估计值就无法进行action选择,也就没有Policy,这类方法被称为 value-based methods.其实我们可以直接产生不依赖于action value 的polcy ,这类直接生成action的方法就叫policy-based methods.他们关系如下: value-based方法,需要计算价值函数(value function),根据自己认为的高价值选择行(action)的...
2015). In contrast, gradient-based methods are generally more prone to explore the hypothesis space, before converging to a stationary point (assuming that the chosen step-size is not particularly small). 3.2 Methods based on (soft-) orthogonal relaxations Since the binary constraints in ...