Deep neural networks (DNNs) have achieved unprecedented success in the f...
Deep learning on point clouds has received increased attention thanks to...
Deep learning on point clouds plays a vital role in a wide range of
appl...
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
Data-driven, automatic design space exploration of neural accelerator
ar...
Model quantization is a widely used technique to compress and accelerate...
Self-driving cars need to understand 3D scenes efficiently and accuratel...
Machine learning on tiny IoT devices based on microcontroller units (MCU...
Transformer has become ubiquitous in natural language processing (e.g.,
...
We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning....
Efficient deep learning computing requires algorithm and hardware co-des...
Model quantization is a widely used technique to compress and accelerate...
Large-scale distributed training requires significant communication band...