This paper describes a new technique for finding disentangled semantic
d...
In recent years, the field of implicit neural representation has progres...
This paper presents DeepShadow, a one-shot method for recovering the dep...
The weight decay regularization term is widely used during training to
c...
We derive a new margin-based regularization formulation, termed multi-ma...
One of the fascinating properties of deep learning is the ability of the...
We introduce a binary embedding framework, called Proximity Preserving C...
We present a selective sampling method designed to accelerate the traini...