%0 Journal Article %1 journals/corr/abs-2211-11586 %A Yao, Zhewei %A Wu, Xiaoxia %A Li, Conglong %A Holmes, Connor %A Zhang, Minjia %A Li, Cheng %A He, Yuxiong %D 2022 %J CoRR %K dblp %T Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. %U http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-11586 %V abs/2211.11586

@article{journals/corr/abs-2211-11586, added-at = {2022-11-24T00:00:00.000+0100}, author = {Yao, Zhewei and Wu, Xiaoxia and Li, Conglong and Holmes, Connor and Zhang, Minjia and Li, Cheng and He, Yuxiong}, biburl = {https://www.bibsonomy.org/bibtex/24a07e0076cbfcb1a383c3adb6b56aadc/dblp}, ee = {https://doi.org/10.48550/arXiv.2211.11586}, interhash = {3829c6c96427187aef5757378a0bb372}, intrahash = {4a07e0076cbfcb1a383c3adb6b56aadc}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-09T00:06:11.000+0200}, title = {Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-11586}, volume = {abs/2211.11586}, year = 2022 }