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2020 – today
- 2024
[i17]Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi:
Materiality and Risk in the Age of Pervasive AI Sensors. CoRR abs/2402.11183 (2024)- [i16]Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi:
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection. CoRR abs/2405.00892 (2024) - [i15]Nat Jeffries, Evan King, Manjunath Kudlur, Guy Nicholson, James Wang, Pete Warden:
Moonshine: Speech Recognition for Live Transcription and Voice Commands. CoRR abs/2410.15608 (2024) - 2023
- [j3]Pete Warden, Matthew Stewart
, Brian Plancher, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. Commun. ACM 66(11): 25-28 (2023) - [j2]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Commun. ACM 66(11): 68-77 (2023) - [c8]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Want a faster ML processor? Do it yourself! DATE 2023: 1-2 - [c7]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. ISPASS 2023: 157-167 - [i14]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR abs/2301.11899 (2023) - [i13]Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi:
Datasheets for Machine Learning Sensors. CoRR abs/2306.08848 (2023) - 2022
- [c6]Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti:
ML-EXray: Visibility into ML Deployment on the Edge. MLSys 2022 - [i12]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. CoRR abs/2201.01863 (2022) - [i11]Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. CoRR abs/2206.03266 (2022) - 2021
- [c5]Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. Interspeech 2021: 4214-4218 - [c4]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:
TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems. MLSys 2021 - [c3]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:
MLPerf Tiny Benchmark. NeurIPS Datasets and Benchmarks 2021 - [c2]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:
Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks 2021 - [i10]Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter:
Data Engineering for Everyone. CoRR abs/2102.11447 (2021) - [i9]Mark Mazumder, Colby R. Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi:
Few-Shot Keyword Spotting in Any Language. CoRR abs/2104.01454 (2021) - [i8]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:
Widening Access to Applied Machine Learning with TinyML. CoRR abs/2106.04008 (2021) - [i7]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:
MLPerf Tiny Benchmark. CoRR abs/2106.07597 (2021) - [i6]Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti:
ML-EXray: Visibility into ML Deployment on the Edge. CoRR abs/2111.04779 (2021) - 2020
- [i5]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:
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems. CoRR abs/2010.08678 (2020)
2010 – 2019
- 2019
- [i4]Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes:
Visual Wake Words Dataset. CoRR abs/1906.05721 (2019) - 2018
- [j1]Nicholas D. Lane, Pete Warden:
The Deep (Learning) Transformation of Mobile and Embedded Computing. Computer 51(5): 12-16 (2018) - [i3]Pete Warden:
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition. CoRR abs/1804.03209 (2018) - 2016
- [c1]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:
TensorFlow: A System for Large-Scale Machine Learning. OSDI 2016: 265-283 - [i2]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:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - [i1]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:
TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016)
Coauthor Index
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