Pete Warden

31 papers A* 1A 2B 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications.
CoRR
Manjunath Kudlur, Evan King, James Wang, Pete Warden
2025 J jnl
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices.
CoRR
Evan King, Adam Sabra, Manjunath Kudlur, James Wang, Pete Warden
2025 J jnl
Materiality and risk in the age of pervasive AI sensors.
Nat. Mac. Intell.
Mona Sloane, Emanuel Moss, Susan Kennedy, Matthew Stewart, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2024 J jnl
Materiality and Risk in the Age of Pervasive AI Sensors.
CoRR
Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
2024 J jnl
Moonshine: Speech Recognition for Live Transcription and Voice Commands.
CoRR
Nat Jeffries, Evan King, Manjunath Kudlur, Guy Nicholson, James Wang, Pete Warden
2024 J jnl
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection.
CoRR
Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi
2023 B conf
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs.
ISPASS
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2023 A conf
CFU Playground: Want a faster ML processor? Do it yourself!
DATE
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2023 J jnl
Datasheets for Machine Learning Sensors.
CoRR
Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi
2023 J jnl
Is TinyML Sustainable?
Commun. ACM
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2023 J jnl
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers.
CoRR
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
2023 J jnl
Machine Learning Sensors.
Commun. ACM
Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi
2022 J jnl
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs.
CoRR
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
2022 — conf
ML-EXray: Visibility into ML Deployment on the Edge.
MLSys
Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti
2022 J jnl
Machine Learning Sensors.
CoRR
Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi
2021 J jnl
Data Engineering for Everyone.
CoRR
Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter
2021 A conf
Few-Shot Keyword Spotting in Any Language.
Interspeech
Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
2021 J jnl
Few-Shot Keyword Spotting in Any Language.
CoRR
Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
2021 J jnl
ML-EXray: Visibility into ML Deployment on the Edge.
CoRR
Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti
2021 — conf
MLPerf Tiny Benchmark.
NeurIPS Datasets and Benchmarks
Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Király, Jeremy Holleman, Pietro Montino, David Kanter, Pete Warden, Danilo Pau, Urmish Thakker, Antonio Torrini, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu
2021 J jnl
MLPerf Tiny Benchmark.
CoRR
Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Király, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, Urmish Thakker, Antonio Torrini, Pete Warden, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Stephen Gibellini, Videet Parekh, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu
2021 — conf
Multilingual Spoken Words Corpus.
NeurIPS Datasets and Benchmarks
Mark Mazumder, Sharad Chitlangia, Colby R. Banbury, Yiping Kang, Juan Ciro, Keith Achorn, Daniel Galvez, Mark Sabini, Peter Mattson, David Kanter, Greg Diamos, Pete Warden, Josh Meyer, Vijay Janapa Reddi
2021 — conf
TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems.
MLSys
Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Tiezhen Wang, Pete Warden, Rocky Rhodes
2021 J jnl
Widening Access to Applied Machine Learning with TinyML.
CoRR
Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby R. Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley
2020 J jnl
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems.
CoRR
Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden
2019 J jnl
Visual Wake Words Dataset.
CoRR
Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes
2018 J jnl
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.
CoRR
Pete Warden
2018 J jnl
The Deep (Learning) Transformation of Mobile and Embedded Computing.
Computer
Nicholas D. Lane, Pete Warden
2016 A* conf
TensorFlow: A System for Large-Scale Machine Learning.
OSDI
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2016 J jnl
TensorFlow: A system for large-scale machine learning.
CoRR
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang
2016 J jnl
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng