Jack Turner

According to our database, Jack Turner authored at least 14 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Substituting Convolutions for Neural Network Compression.

Elliot J. Crowley, Gavin Gray, Jack Turner, Amos J. Storkey

IEEE Access, 2021

Neural Architecture Search without Training.

Joe Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural architecture search as program transformation exploration.

Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Neural Architecture Search without Training.

Joseph Charles Mellor, Jack Turner, Amos J. Storkey, Elliot J. Crowley

CoRR, 2020

Automatic generation of specialized direct convolutions for mobile GPUs.

Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach

Proceedings of the GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget.

Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey, Gavin Gray

Proceedings of the 8th International Conference on Learning Representations, 2020

Optimizing Grouped Convolutions on Edge Devices.

Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey

CoRR, 2019

BlockSwap: Fisher-guided Block Substitution for Network Compression.

Jack Turner, Elliot J. Crowley, Gavin Gray, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2019

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.

Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018

HAKD: Hardware Aware Knowledge Distillation.

Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2018

Pruning neural networks: is it time to nip it in the bud?

Elliot J. Crowley, Jack Turner, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.

Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018