Colby R. Banbury

According to our database1, Colby R. Banbury authored at least 16 papers between 2019 and 2022.

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



In proceedings 
PhD thesis 




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

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs.
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

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

Benchmarking TinyML Systems: Challenges and Direction.
CoRR, 2020

Quantized Neural Network Inference with Precision Batching.
CoRR, 2020

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