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When Machine Learning Meets Quantum Computers: A Case Study
Along with the development of AI democratization, the machine learning a...
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DNA: Differentiable Network-Accelerator Co-Search
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
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MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
With the tremendous success of deep learning, there exists imminent need...
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Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly...
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Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Hardware and neural architecture co-search that automatically generates ...
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BUNET: Blind Medical Image Segmentation Based on Secure UNET
The strict security requirements placed on medical records by various pr...
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MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation
The recent breakthroughs of Neural Architecture Search (NAS) have motiva...
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Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits
Despite the pursuit of quantum supremacy in various applications, the po...
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Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Neural Architecture Search (NAS) has demonstrated its power on various A...
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NASS: Optimizing Secure Inference via Neural Architecture Search
Due to increasing privacy concerns, neural network (NN) based secure inf...
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Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
Co-exploration of neural architectures and hardware design is promising ...
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On Neural Architecture Search for Resource-Constrained Hardware Platforms
In the recent past, the success of Neural Architecture Search (NAS) has ...
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Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Real-time Deep Neural Network (DNN) inference with low-latency requireme...
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Hardware/Software Co-Exploration of Neural Architectures
We propose a novel hardware and software co-exploration framework for ef...
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Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search
A fundamental question lies in almost every application of deep neural n...
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