Cody Blakeney

According to our database, Cody Blakeney authored at least 8 papers between 2019 and 2022.

Collaborative distances:

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

2022

Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation.

Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt

CoRR, 2022

Measuring Bias and Fairness in Multiclass Classification.

Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

2021

Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression.

Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong

IEEE Trans. Parallel Distributed Syst., 2021

Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks.

Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong

CoRR, 2021

Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation.

Cody Blakeney, Nathaniel Huish, Yan Yan, Ziliang Zong

CoRR, 2021

2020

Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity.

Cody Blakeney, Yan Yan, Ziliang Zong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Craft Distillation: Layer-wise Convolutional Neural Network Distillation.

Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong

Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

2019

Improving the energy efficiency of relational and NoSQL databases via query optimizations.

Divya Mahajan, Cody Blakeney, Ziliang Zong

Sustain. Comput. Informatics Syst., 2019