Diffusion models have achieved great success in modeling continuous data...
Weight decay (WD) is a traditional regularization technique in deep lear...
3D object detection is an essential task in autonomous driving. Recent
t...
Evaluating generative adversarial networks (GANs) is inherently challeng...
State-of-the-art deep reading comprehension models are dominated by recu...
We propose Deep Feature Interpolation (DFI), a new data-driven baseline ...
In recent years deep neural networks have achieved great success in sent...
Very deep convolutional networks with hundreds of layers have led to
sig...
As machine learning algorithms enter applications in industrial settings...