Neural Network
The Swish Activation Function
This blogpost is an in-depth discussion of the Google Brain paper titled "Searching for activation functions" which has since revived research into activation functions.
xUnit Spatial Activation Function for Image Denoising
This article provides an in-depth look at the CVPR 2018 paper titled "xUnit: Learning a Spatial Activation Function for Efficient Image Restoration" and its importance in the domain of image reconstruction.
Question Answering Models: A Comparison
This article covers a deeper level understanding of Question Answering models in NLP, the datasets commonly used, and how to choose a pre-trained model by considering various factors like the document structure, runtime cost, etc.
Concurrent Spatial and Channel Squeeze & Excitation (scSE) Nets
In this article, we will take a look at the paper "Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks" which serves as a design update for the popular Squeeze-and-Excitation attention module.
Shuffle Attention for Deep Convolutional Neural Networks (SA-Net)
This article gives an in-depth summary of the ICASSP paper titled "SA-Net: Shuffle Attention for Deep Convolutional Neural Networks."