Neural Architecture Search (NAS) has shown promising performance in the
...
The combination of Neural Architecture Search (NAS) and quantization has...
Due to its high cost-effectiveness, sparsity has become the most importa...
With the growing model size, deep neural networks (DNN) are increasingly...
An activation function is an element-wise mathematical function and play...
Despite the impressive progress of general face detection, the tuning of...
Architecture performance predictors have been widely used in neural
arch...
With the success of Neural Architecture Search (NAS), weight sharing, as...
BERT is a cutting-edge language representation model pre-trained by a la...
With the success of deep neural networks, Neural Architecture Search (NA...