main webpage
W Topic
Softmax Function
arXiv (Cornell University)
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
2024
We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax normaliza…
Article

Softmax Function

Smooth approximation of one-hot arg max

The softmax function, also known as softargmax : 184 or normalized exponential function ,: 198 converts a vector of K real numbers into a probability distribution of K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes, based on Luce's choice axiom.

Exploring foci of:
arXiv (Cornell University)
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
2024
We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax normalization in spatial aggregation to enhance its dynamic property and expressive power and 2. optimizing memory access to minimize redundant operations for speedup. These improvements result in a significantly faster convergence compared to DCNv3 and a substantial i…
Click Softmax Function Vs:
Computer Science
Artificial Intelligence
Machine Learning
Computer Vision
Generative Grammar
Deep Learning
Parallel Computing
Operations Management
Anthropology
Click Softmax Function Vs:
Chemistry
Geometry
Mathematics
Biochemistry
Economics