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04/09/2022
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
On-device ML accelerators are becoming a standard in modern mobile syste...
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08/18/2020
Discovering Multi-Hardware Mobile Models via Architecture Search
Developing efficient models for mobile phones or other on-device deploym...
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04/30/2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Inverted bottleneck layers, which are built upon depthwise convolutions,...
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03/05/2020
Accelerator-aware Neural Network Design using AutoML
While neural network hardware accelerators provide a substantial amount ...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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10/05/2017
To prune, or not to prune: exploring the efficacy of pruning for model compression
Model pruning seeks to induce sparsity in a deep neural network's variou...
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09/14/2015
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
This paper presents Rudra, a parameter server based distributed computin...
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02/09/2015