The accuracy of AlphaFold2, a frontier end-to-end structure prediction
s...
Pre-training models are an important tool in Natural Language Processing...
The variability of wind power supply can present substantial challenges ...
Accurate protein structure prediction can significantly accelerate the
d...
Optical character recognition (OCR) technology has been widely used in
v...
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at
fac...
With the increasing diversity of ML infrastructures nowadays, distribute...
The ever-growing model size and scale of compute have attracted increasi...
Real-world applications have high demands for semantic segmentation meth...
Pre-trained language models have achieved state-of-the-art results in va...
Distributed training has become a pervasive and effective approach for
t...
Deep neural networks (DNNs) exploit many layers and a large number of
pa...
The better accuracy and efficiency trade-off has been a challenging prob...
In recent years, image recognition applications have developed rapidly. ...
Optical Character Recognition (OCR) systems have been widely used in var...
Object detection is a basic but challenging task in computer vision, whi...
Being effective and efficient is essential to an object detector for
pra...
Recently, research efforts have been concentrated on revealing how
pre-t...