The Elastic Lottery Ticket Hypothesis
Authors: Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We conduct extensive experiments on CIFAR-10 and Image Net, and propose a variety of strategies to tweak the winning tickets found from different networks of the same model family (e.g., Res Nets). |
| Researcher Affiliation | Collaboration | Xiaohan Chen1 Yu Cheng2 Shuohang Wang2 Zhe Gan2 Jingjing Liu3 Zhangyang Wang1 1University of Texas at Austin 2Microsoft Corporation 3Tsinghua University |
| Pseudocode | No | No structured pseudocode or algorithm blocks found. The IMP algorithm steps are described in paragraph form. |
| Open Source Code | Yes | Code is available at https://github.com/VITA-Group/Elastic LTH. |
| Open Datasets | Yes | We conduct extensive experiments on CIFAR-10 [26] and then Image Net [7] |
| Dataset Splits | Yes | We conduct extensive experiments on CIFAR-10 [26] and then Image Net [7], transferring the winning tickets across multiple models from Res Net family and VGG family. |
| Hardware Specification | No | No specific hardware details (e.g., exact GPU/CPU models, memory amounts) are mentioned for running experiments. |
| Software Dependencies | No | No specific ancillary software details (e.g., library or solver names with version numbers) are mentioned in the provided text. |
| Experiment Setup | No | No specific experimental setup details (e.g., concrete hyperparameter values, training configurations, or system-level settings) are explicitly provided in the main text of the paper. |