Colby Banbury
Colby Banbury
PhD Student, Harvard University
Verified email at - Homepage
Cited by
Cited by
Benchmarking tinyml systems: Challenges and direction
CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ...
Proceedings of machine learning and systems 3, 517-532, 2021
Mlperf Tiny Benchmark
C Banbury, VJ Reddi, P Torelli, J Holleman, N Jeffries, C Kiraly, P Montino, ...
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
The performance of the hot end in a plasticating 3D printer
ME Mackay, ZR Swain, CR Banbury, DD Phan, DA Edwards
Journal of Rheology 61 (2), 229-236, 2017
Dataperf: Benchmarks for data-centric ai development
M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ...
Advances in Neural Information Processing Systems 36, 2024
Tiny robot learning (tinyrl) for source seeking on a nano quadcopter
BP Duisterhof, S Krishnan, JJ Cruz, CR Banbury, W Fu, A Faust, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 7242-7248, 2021
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
Edge impulse: An mlops platform for tiny machine learning
S Hymel, C Banbury, D Situnayake, A Elium, C Ward, M Kelcey, ...
arXiv preprint arXiv:2212.03332, 2022
Multilingual spoken words corpus
M Mazumder, S Chitlangia, C Banbury, Y Kang, JM Ciro, K Achorn, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
Few-shot keyword spotting in any language
M Mazumder, C Banbury, J Meyer, P Warden, VJ Reddi
Proceedings of Interspeech, 2021
Cfu playground: Full-stack open-source framework for tiny machine learning (tinyml) acceleration on fpgas
S Prakash, T Callahan, J Bushagour, C Banbury, AV Green, P Warden, ...
2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023
Tiny robot learning: Challenges and directions for machine learning in resource-constrained robots
SM Neuman, B Plancher, BP Duisterhof, S Krishnan, C Banbury, ...
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
Xrbench: An extended reality (xr) machine learning benchmark suite for the metaverse
H Kwon, K Nair, J Seo, J Yik, D Mohapatra, D Zhan, J Song, P Capak, ...
Proceedings of Machine Learning and Systems 5, 2023
Machine learning sensors
P Warden, M Stewart, B Plancher, S Katti, VJ Reddi
Communications of the ACM 66 (11), 25-28, 2023
Is TinyML Sustainable?
S Prakash, M Stewart, C Banbury, M Mazumder, P Warden, B Plancher, ...
Communications of the ACM 66 (11), 68-77, 2023
Maximal 3D printing extrusion rates
DA Edwards, ME Mackay, ZR Swain, CR Banbury, DD Phan
IMA Journal of Applied Mathematics 84 (5), 1022-1043, 2019
Precision Batching: Bitserial Decomposition for Efficient Neural Network Inference on GPUs
M Lam, Z Yedidia, CR Banbury, VJ Reddi
2021 30th International Conference on Parallel Architectures and Compilation …, 2021
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection
C Banbury, E Njor, M Stewart, P Warden, M Kudlur, N Jeffries, X Fafoutis, ...
arXiv preprint arXiv:2405.00892, 2024
MobileNetV4-Universal Models for the Mobile Ecosystem
D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ...
arXiv preprint arXiv:2404.10518, 2024
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