HKUNLP/efficient-attention
[EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
PythonApache-2.0
Stargazers
- baeseongsuKAIST
- chang-github-00CS, HKU
- ChenxinAn-fduFudan University, The university of Hong Kong
- ctlllll@Princeton
- DoraemonzzzShanghai
- DoragdByteDance
- fly51flyPRIS
- fuqianya
- HillZhang1999Soochow University
- idejiePeking University
- J-zinLondon, UK
- JennySRH
- JerrryNieHong Kong University of Science and Technology
- jiacheng-yeThe University of Hong Kong
- KevinYoung98
- kiaiaHKU,BUAA
- kugwzk
- LithiumDACarnegie Mellon University
- liujingcsMonash University
- lwaekfjlkCKC@ZJU -> LTI@CMU -> CS@UIUC
- MancheryTsinghua University
- neuralchenShanghai Jiao Tong University
- NNNNAIUniversity of Technology Sydney
- rentainheIDEA
- sudahui
- sun254667307
- sustcsonglinMIT
- TimothyxxxThe University of Hong Kong
- tuofeilunhifiLi Auto
- VPeterVShanghaiTech University
- yingunjun
- YvaineNewYork
- yzhangcsSoochow University
- ZiruiOu
- zjhthuBeijing
- ZQSIATTongji University