184 citations · 316 across the 4 of their papers we have counts for
5 papers
TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment
Hsin-I Cindy Liu, Marius Brehler, Mahesh Ravishankar +3
Machine learning model deployment for training and execution has been an important topic for industry and academic research in the last decade. Much of the attention has been focus…
Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction
Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik +9
Despite significant investment in software infrastructure, machine learning systems, runtimes and compilers do not compose properly. We propose a new design aiming at providing unp…
Streaming keyword spotting on mobile devices
Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya +2
In this work we explore the latency and accuracy of keyword spotting (KWS) models in streaming and non-streaming modes on mobile phones. NN model conversion from non-streaming mode…
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation
Ye Jia, Melvin Johnson, Wolfgang Macherey +6
End-to-end Speech Translation (ST) models have many potential advantages when compared to the cascade of Automatic Speech Recognition (ASR) and text Machine Translation (MT) models…