Colby R. Banbury

According to our database1, Colby R. Banbury authored at least 21 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Is TinyML Sustainable?
Commun. ACM, November, 2023

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers.
CoRR, 2023


CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

CFU Playground: Want a faster ML processor? Do it yourself!
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning.
CoRR, 2022

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
CoRR, 2022

DataPerf: Benchmarks for Data-Centric AI Development.
CoRR, 2022

Machine Learning Sensors.
CoRR, 2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
MLPerf Tiny Benchmark.
CoRR, 2021

Widening Access to Applied Machine Learning with TinyML.
CoRR, 2021

Multilingual Spoken Words Corpus.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
Proceedings of Machine Learning and Systems 2021, 2021

Few-Shot Keyword Spotting in Any Language.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Precision Batching: Bitserial Decomposition for Efficient Neural Network Inference on GPUs.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020
Benchmarking TinyML Systems: Challenges and Direction.
CoRR, 2020

Quantized Neural Network Inference with Precision Batching.
CoRR, 2020

2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller.
CoRR, 2019


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