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cs.AR2021
A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow
Kaining Zhou, Yangshuo He, Rui Xiao +2
The ever-increasing computation complexity of fastgrowing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann…
cs.CV2021
Fine-Grained Control of Artistic Styles in Image Generation
Xin Miao, Huayan Wang, Jun Fu +3
Recent advances in generative models and adversarial training have enabled artificially generating artworks in various artistic styles. It is highly desirable to gain more control…
cs.CV2021
Stochastic Whitening Batch Normalization
Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi +3
Batch Normalization (BN) is a popular technique for training Deep Neural Networks (DNNs). BN uses scaling and shifting to normalize activations of mini-batches to accelerate conver…