Binhang Qi

Patching Weak Convolutional Neural Network Models through Modularization and Composition

2022

Despite great success in many applications, deep neural networks are not always robust in practice. For instance, a convolutional neuron network (CNN) model for classification tasks often performs unsatisfactorily in classifying some particular classes of …

Modularizing while Training: A New Paradigm for Modularizing DNN Models

2023 · arXiv (Cornell University)

Deep neural network (DNN) models have become increasingly crucial components in intelligent software systems. However, training a DNN model is typically expensive in terms of both time and money. To address this issue, researchers have …