Blakeney, Cody

5 publications

ICLR 2025 Perplexed by Perplexity: Perplexity-Based Data Pruning with Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L Leavitt, Mansheej Paul
ICMLW 2024 Does Your Data Spark Joy? Performance Gains from Domain Upsampling at the End of Training Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle
TMLR 2024 LoRA Learns Less and Forgets Less Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John Patrick Cunningham
ICLRW 2024 Perplexed by Perplexity: Perplexity-Based Pruning with Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L Leavitt, Mansheej Paul
WACV 2020 Is Pruning Compression?: Investigating Pruning via Network Layer Similarity Cody Blakeney, Yan Yan, Ziliang Zong