Mikler, S. 2022. [Re] Reproducibility Study: Comparing Rewinding and Fine-tuning in Neural Network Pruning. ReScience C 8, 2, #27.
| Article (PDF): | https://zenodo.org/record/6574679/files/article.pdf |
| Title: | [Re] Reproducibility Study: Comparing Rewinding and Fine-tuning in Neural Network Pruning |
| Author(s): | Mikler, Szymon |
| Journal: | ReScience C |
| Year: | 2022 |
| Month: | may |
| Volume: | 8 |
| Issue: | 2 |
| Number: | #27 |
| DOI: | 10.5281/zenodo.6574679 |
| Code URL: | https://github.com/gahaalt/reproducing-comparing-rewinding-and-finetuning |
| Code DOI: | 10.5281/zenodo.6519109 |
| Data URL: | - |
| Data DOI: | - |
| Review URL: | https://openreview.net/forum?id=HxWEL2zQ3AK |
| Cite as: | Mikler, S. 2022. [Re] Reproducibility Study: Comparing Rewinding and Fine-tuning in Neural Network Pruning. ReScience C 8, 2, #27. |