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...
Novel view synthesis is an essential functionality for enabling immersiv...
Real-time and robust photorealistic avatars for telepresence in AR/VR ha...
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C...
We present a first-of-its-kind ultra-compact intelligent camera system,
...
Eye tracking has become an essential human-machine interaction modality ...
Efficient deep neural network (DNN) models equipped with compact operato...
Neural networks (NNs) with intensive multiplications (e.g., convolutions...
Vision transformers (ViTs) have recently set off a new wave in neural
ar...
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...
There exists a gap in terms of the signals provided by pacemakers (i.e.,...
Deep Neural Networks (DNNs) are known to be vulnerable to adversarial
at...
Graph Neural Networks (GNNs) have emerged as the state-of-the-art (SOTA)...
The recent breakthroughs of deep neural networks (DNNs) and the advent o...
The recent breakthroughs and prohibitive complexities of Deep Neural Net...
Semantic segmentation for scene understanding is nowadays widely demande...
Driven by the explosive interest in applying deep reinforcement learning...
While maximizing deep neural networks' (DNNs') acceleration efficiency
r...
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
HardWare-aware Neural Architecture Search (HW-NAS) has recently gained
t...
Low-precision deep neural network (DNN) training has gained tremendous
a...
The record-breaking performance of deep neural networks (DNNs) comes wit...
Recent breakthroughs in deep neural networks (DNNs) have fueled a tremen...
AlphaGo's astonishing performance has ignited an explosive interest in
d...
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
The compression of Generative Adversarial Networks (GANs) has lately dra...
We present SmartExchange, an algorithm-hardware co-design framework to t...
While increasingly deep networks are still in general desired for achiev...
(Frankle & Carbin, 2019) shows that there exist winning tickets (small b...