Voxel-based methods have achieved state-of-the-art performance for 3D ob...
Variational optimization of neural-network representations of quantum st...
Variational quantum Monte Carlo (VMC) combined with neural-network quant...
The variational quantum Monte Carlo (VQMC) method received significant
a...
Convolutional neural networks (CNNs) are vulnerable to adversarial examp...
We propose to detect Deepfake generated by face manipulation based on on...
Neural Architecture Search (NAS) has received extensive attention due to...
Binary Neural Networks (BNNs) have received significant attention due to...
An identification is found between meta-learning and the problem of
dete...
Neural architecture search (NAS) recently received extensive attention d...
Convolutional Neural Networks (CNNs) have been widely used in many field...
A notion of quantum natural evolution strategies is introduced, which
pr...
Budgeted pruning is the problem of pruning under resource constraints. I...
This work proposes a novel Graph-based neural ArchiTecture Encoding Sche...
We propose a simple yet highly effective method that addresses the
mode-...
We interpret part of the experimental results of Shwartz-Ziv and Tishby
...