Cody Blakeney

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Reference Models

Multiclass Classification

Top Venues

Sustain. Comput. Informatics Syst.

CSCloud/EdgeCom

Publications

Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle
Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR (2024)
Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. CoRR (2024)
Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham
LoRA Learns Less and Forgets Less. CoRR (2024)
Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong
Measuring Bias and Fairness in Multiclass Classification. NAS (2022)
Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation. CoRR (2022)
Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks. CoRR (2021)
Cody Blakeney, Nathaniel Huish, Yan Yan, Ziliang Zong
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation. CoRR (2021)
Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression. CoRR (2020)
Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong
Craft Distillation: Layer-wise Convolutional Neural Network Distillation. CSCloud/EdgeCom (2020)
Cody Blakeney, Yan Yan, Ziliang Zong
Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity. WACV (2020)
Divya Mahajan, Cody Blakeney, Ziliang Zong
Improving the energy efficiency of relational and NoSQL databases via query optimizations. Sustain. Comput. Informatics Syst. 22 (2019)