Architecture Disentanglement for Deep Neural Networks

2022.2.11 第6次 简读 ICCV2021(Oral) Architecture Disentanglement for Deep Neural Networks Architecture Disentanglement for Deep Neural Networks
贡献点
We propose a new method, termed neural architecture disentanglement (NAD), to understand the inference process of DNNs.We study the properties of NAD with network architectures ranging from handcrafted to automatically-searched. Results on scene-based and object-b

Architecture Disentanglement for Deep Neural Networks最先出现在Python成神之路。