The remarkable capabilities and intricate nature of Artificial Intellige...
Tiny deep learning has attracted increasing attention driven by the
subs...
Despite the growing demand for tuning foundation vision transformers (FV...
Vision Transformers (ViTs) have achieved state-of-the-art performance on...
Eye tracking has become an essential human-machine interaction modality ...
Low precision deep neural network (DNN) training is one of the most effe...
ViTs are often too computationally expensive to be fitted onto real-worl...
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...
The recent breakthroughs and prohibitive complexities of Deep Neural Net...
Driven by the explosive interest in applying deep reinforcement learning...
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
HardWare-aware Neural Architecture Search (HW-NAS) has recently gained
t...
AlphaGo's astonishing performance has ignited an explosive interest in
d...
This paper presents a novel network compression framework Kernel Quantiz...
Annotating temporal relations (TempRel) between events described in natu...