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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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04/21/2022
TorchSparse: Efficient Point Cloud Inference Engine
Deep learning on point clouds has received increased attention thanks to...
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10/14/2021
PointAcc: Efficient Point Cloud Accelerator
Deep learning on point clouds plays a vital role in a wide range of appl...
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07/22/2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
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05/27/2021
NAAS: Neural Accelerator Architecture Search
Data-driven, automatic design space exploration of neural accelerator ar...
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08/11/2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Model quantization is a widely used technique to compress and accelerate...
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07/31/2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Self-driving cars need to understand 3D scenes efficiently and accuratel...
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07/20/2020
MCUNet: Tiny Deep Learning on IoT Devices
Machine learning on tiny IoT devices based on microcontroller units (MCU...
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04/24/2020
Lite Transformer with Long-Short Range Attention
Transformer has become ubiquitous in natural language processing (e.g., ...
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07/08/2019
Point-Voxel CNN for Efficient 3D Deep Learning
We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning....
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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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11/21/2018
HAQ: Hardware-Aware Automated Quantization
Model quantization is a widely used technique to compress and accelerate...
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12/05/2017
