We present a simple yet novel parameterized form of linear mapping to
ac...
Music generation has attracted growing interest with the advancement of ...
We propose theoretical analyses of a modified natural gradient descent m...
This paper describes the approach we have taken in the challenge. We sti...
Tiny Actions Challenge focuses on understanding human activities in
real...
The performance of federated learning in neural networks is generally
in...
Exploiting a general-purpose neural architecture to replace hand-wired
d...
We present BN-NAS, neural architecture search with Batch Normalization
(...
In this paper, we observe two levels of redundancies when applying visio...
We introduce the first Neural Architecture Search (NAS) method to find a...
The automation of neural architecture design has been a coveted alternat...
The fully-convolutional siamese network based on template matching has s...
Due to the complication of the presented problem, intelligent algorithms...
Meta-learning is a promising method to achieve efficient training method...