Banbury, Colby

Benchmarking TinyML Systems: Challenges and Direction

Banbury, C. R., Reddi, V. J., Lam, M., Fu, W., Fazel, A., Holleman, J., Huang, X., Hurtado, R., Kanter, D., Lokhmotov, A., et al. (2020) · arXiv

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 216

Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers

Banbury, C., Zhou, C., Fedorov, I., Navarro, R. M., Thakker, U., Gope, D., Reddi, V. J., Mattina, M., & Whatmough, P. N. (2020) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 183

MLPerf Tiny Benchmark

Banbury, C., Reddi, V. J., Torelli, P., Holleman, J., Jeffries, N., Kiraly, C., Montino, P., Kanter, D., Ahmed, S., Pau, D., et al. (2021) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 121

Widening Access to Applied Machine Learning with TinyML

Janapa Reddi, V., Plancher, B., Kennedy, S., Moroney, L., Warden, P., Suzuki, L., Agarwal, A., Banbury, C., Banzi, M., Bennett, M., et al. (2022) · Harvard Data Science Review

Online Learning and AnalyticsTeaching and Learning Programming

Cited by 62

Few-Shot Keyword Spotting in Any Language

Mazumder, M., Banbury, C., Meyer, J., Warden, P., & Reddi, V. J. (2021) · Interspeech 2021

Speech Recognition and SynthesisDomain Adaptation and Few-Shot Learning

Cited by 38

DataPerf: Benchmarks for Data-Centric AI Development

Mazumder, M., Banbury, C., Yao, X., Karlaš, B., Rojas, W. G., Diamos, S., Diamos, G., He, L., Parrish, A., Kirk, H. R., et al. (2023) · Advances in Neural Information Processing Systems 36

Advanced Database Systems and QueriesScientific Computing and Data Management

Cited by 5