| Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 27536 | 2016 |
| {TensorFlow}: a system for {Large-Scale} machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016 | 21756 | 2016 |
| Speech commands: A dataset for limited-vocabulary speech recognition P Warden arXiv preprint arXiv:1804.03209, 2018 | 1253 | 2018 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 696 | 2015 |
| Tensorflow lite micro: Embedded machine learning for tinyml systems R David, J Duke, A Jain, V Janapa Reddi, N Jeffries, J Li, N Kreeger, ... Proceedings of Machine Learning and Systems 3, 800-811, 2021 | 377 | 2021 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 354 | 2015 |
| Tinyml: Machine learning with tensorflow lite on arduino and ultra-low-power microcontrollers P Warden, D Situnayake O'Reilly Media, 2019 | 295 | 2019 |
| TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2019 | 247 | 2019 |
| 12th USENIX symposium on operating systems design and implementation (OSDI 16) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Savannah, GA, 265-283, 2016 | 241 | 2016 |
| Tensorflow: A system for large-scale machine learning PB Mart'in Abadi, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016 | 161 | 2016 |
| Tensor ow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 3, 2016 | 160 | 2016 |
| Big data glossary P Warden O'Reilly Media, Inc., 2011 | 154 | 2011 |
| Speech commands: A public dataset for single-word speech recognition P Warden Dataset available from http://download. tensorflow. org/data …, 2017 | 112 | 2017 |
| Visual wake words dataset A Chowdhery, P Warden, J Shlens, A Howard, R Rhodes arXiv preprint arXiv:1906.05721, 2019 | 99 | 2019 |
| & Zheng, X.(2016). Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …, 0 | 80 | |
| Why GEMM is at the heart of deep learning P Warden Peter Warden’s Blog, 2015 | 64 | 2015 |
| Got an iPhone or 3G iPad? Apple is recording your moves A Allan, P Warden O’Reilley Radar, 2011 | 57 | 2011 |
| Towards deep learning using tensorflow lite on risc-v MS Louis, Z Azad, L Delshadtehrani, S Gupta, P Warden, VJ Reddi, ... Third Workshop on Computer Architecture Research with RISC-V (CARRV) 1, 6, 2019 | 50 | 2019 |
| The deep (learning) transformation of mobile and embedded computing ND Lane, P Warden Computer 51 (5), 12-16, 2018 | 47 | 2018 |
| Widening access to applied machine learning with tinyml VJ Reddi, B Plancher, S Kennedy, L Moroney, P Warden, A Agarwal, ... arXiv preprint arXiv:2106.04008, 2021 | 41 | 2021 |
