Reinforcement learning has been applied to train the dialog systems in m...
Graph neural networks (GNNs), which have emerged as an effective method ...
A slot value might be provided segment by segment over multiple-turn
int...
Depthwise separable convolutions and frequency-domain convolutions are t...
Graph neural networks (GNNs) are gaining increasing popularity as a prom...
Quantization can improve the execution latency and energy efficiency of
...
Quantization can improve the execution latency and energy efficiency of
...
We propose unitary group convolutions (UGConvs), a building block for CN...
There is an increasing need to bring machine learning to a wide diversit...
Scalable frameworks, such as TensorFlow, MXNet, Caffe, and PyTorch drive...