The Transformer model has revolutionized Natural Language Processing tas...
Latent variable modeling in non-autoregressive neural machine translatio...
Autonomous mobility is emerging as a new mode of urban transportation fo...
Network function virtualization (NFV) and software-defined network (SDN)...
Neural machine translation (NMT) has achieved great successes with large...
In contrastive learning in the image domain, the anchor and positive sam...
Semi-supervised learning algorithms in neural machine translation (NMT) ...
The Second Language Acquisition field has been significantly impacted by...
Software-defined networking (SDN) and network function virtualization (N...
For years, adversarial training has been extensively studied in natural
...
Recent achievements in end-to-end deep learning have encouraged the
expl...
In the management of computer network systems, the service function chai...
Software-defined networking (SDN) and the network function virtualizatio...
In pattern recognition or machine learning, it is a very fundamental tas...
Growing number of network devices and services have led to increasing de...
Since deep learning became a key player in natural language processing (...
After the success of deep generative models in image generation tasks,
l...
Convolutional neural networks (CNNs) have achieved remarkable performanc...
Dropout has been one of standard approaches to train deep neural network...
Recurrent neural networks (RNNs) have been drawing much attention with g...
Neural machine translation (NMT) has been a new paradigm in machine
tran...
Current language models have a significant limitation in the ability to
...
We first observe a potential weakness of continuous vector representatio...