Revisiting Internal Covariant Shift for Batch Normalization

A Feature Fusion based Indicator for Training-free Neural Architecture Search

Compressing Neural Networks with Inter Prediction and Linear Transformation

A Layer-wise Extreme Network Compression for Super Resolution

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation

Dynamic Structured Pruning with Novel Filter Importance and Leaky Masking based on Convolution and Batch Normalization Parameters

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning

Fast and Accurate Robotic Optical Detection of Exfoliated Graphene and Hexagonal Boron Nitride by Deep Neural Networks

Cost-Efficient Super-Resolution Hardware using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion

ERDNN: Error-Resilient Deep Neural Networks with a New Error Correction Layer and Piece-wise Rectified Linear Unit