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06/15/2023
Neural Fine-Tuning Search for Few-Shot Learning
In few-shot recognition, a classifier that has been trained on one set o...
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10/13/2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Neural architecture search (NAS) has been successfully used to design nu...
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06/22/2022
FedorAS: Federated Architecture Search under system heterogeneity
Federated learning (FL) has recently gained considerable attention due t...
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05/06/2022
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
Self-attention based models such as vision transformers (ViTs) have emer...
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09/28/2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
With smartphones' omnipresence in people's pockets, Machine Learning (ML...
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06/12/2021
Zero-Cost Proxies Meet Differentiable Architecture Search
Differentiable neural architecture search (NAS) has attracted significan...
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01/20/2021
Zero-Cost Proxies for Lightweight NAS
Neural Architecture Search (NAS) is quickly becoming the standard method...
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10/27/2020
μNAS: Constrained Neural Architecture Search for Microcontrollers
IoT devices are powered by microcontroller units (MCUs) which are extrem...
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08/06/2020
Iterative Compression of End-to-End ASR Model using AutoML
Increasing demand for on-device Automatic Speech Recognition (ASR) syste...
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07/16/2020
BRP-NAS: Prediction-based NAS using GCNs
Neural architecture search (NAS) enables researchers to automatically ex...
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07/08/2020
Journey Towards Tiny Perceptual Super-Resolution
Recent works in single-image perceptual super-resolution (SR) have demon...
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02/11/2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
Neural architecture search (NAS) has been very successful at outperformi...
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08/21/2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
In recent years, convolutional networks have demonstrated unprecedented ...
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07/08/2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
End-to-end automatic speech recognition (ASR) models are increasingly la...
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10/12/2018