如果我们希望输出能够稀疏,则可以用sparsemax。 说人话就是: 其中z的含义和softmax中的z的含义是一样的。其函数图像和softmax比较为: def sparsemax(z): sum_all_z = sum(z) z_sorted = sorted(z, reverse=True) k = np.arange(len(z)) k_array = 1 + k * z_sorted z_cumsum = np.cumsum(z...
Sparsemax is a type of activation/output function similar to the traditional softmax, but able to output sparse probabilities. $$ \text{sparsemax}\left(z\right) = \arg_{p∈\Delta^{K−1}}\min||\mathbf{p} - \mathbf{z}||^{2} $$ ...
In this paper, we propose two novel neural models by providing sparse posterior distributions over topics based on the Gaussian sparsemax construction, enabling efficient training by stochastic backpropagation. We construct an inference network conditioned on the input data and infer the variational ...
func Sparsemax(x *Node, axes ...int) (*Node, error) { op := newSparsemaxOp(axes...) return ApplyOp(op, x) } func (op *sparsemaxOp) Arity() int { return 1 } func (op *sparsemaxOp) ReturnsPtr() bool { return false } func (op *sparsemaxOp) CallsExtern() bool ...
We propose sparsemax, a new activation function similar to the traditional softmax, but able to output sparse probabilities. After deriving its properties, we show how its Jacobian can be efficiently computed, enabling its use in a network trained with backpropagation. Then, we propose a new smo...
which remove the irrelevant words and sentences from the classification process in order to reduce potential noise in the document classification accuracy and ii) Hierarchical Sparsemax Attention Networks, which replace the Softmax function used in the attention mechanism with the Sparsemax [Martins and ...
GLU、sparsemax**函数 技术标签:算法 查看原文 Deep Learning for Extreme Multi-label Text Classification 一、背景介绍 1、研究背景:Multi-label和二分类、多分类研究的内容本身就不太一样,并且Multi-label的数据稀疏问题比单一分类更严重,因此很难学习label之间的依赖关系。2、研究...multi-label的共现性,对loss...
Martins等人通过论文《From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification》引入Sparsemax,提出了一种替代众所周知的softmax激活函数的新方法。 虽然softmax是输出在K个概率上归一化的概率分布的多类分类的适当选择,但在许多任务中,我们希望获得一个更稀疏的输出。Martins引入了一...