VITA-Group/Random_Pruning
[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
Python
Stargazers
- AdvaitGadhikarSaarland University
- arcral
- bwnjnOEISaudi Arabia, Jeddah
- cjfv
- eliacunegattiUniversity of Trento
- FlyEgleJOYY
- gaoxuzhang223
- HaiShin
- HaroldMuaBeijing, China
- HowieMa@UCI @SEU @Meta
- howtocodewangShanghai Institute of Microsystem and Information Technology (SIMIT)
- HuaxuDuan
- imyangshangzhou
- jameslahmTsinghua University
- jia0511无锡
- jjjjohnsonHangzhou, China
- KaleabTesseraUniversity of Edinburgh
- lscgx
- luuyinUniversity of Aberdeen
- maurapintorUniversity of Cagliari
- monchhichizzq
- nbl97Institute of Automation, Chinese Academy of Sciences
- NobreakfastWuxi
- rebekka-burkholz
- ShiweiliuiiiiiiiUniversity of Oxford
- SoftwareGift
- songkq
- strategist922Microsoft
- syswylhaidian Beijing
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- wanganzhiChengDu
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