Kalman Filtering Attention Save

Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"

Project README

Kalman Filtering Attention (wip)

Implementation of the Kalman Filtering Attention proposed in Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Will use this repository as guidance. Looks like the core of Kalman filtering is just 5 lines of code.

Citations

@inproceedings{NEURIPS2020_68ce199e,
    author = {Liu, Hu and LU, Jing and Zhao, Xiwei and Xu, Sulong and Peng, Hao and Liu, Yutong and Zhang, Zehua and Li, Jian and Jin, Junsheng and Bao, Yongjun and Yan, Weipeng},
    booktitle = {Advances in Neural Information Processing Systems},
    editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
    pages = {9228--9238},
    publisher = {Curran Associates, Inc.},
    title = {Kalman Filtering Attention for User Behavior Modeling in CTR Prediction},
    url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/68ce199ec2c5517597ce0a4d89620f55-Paper.pdf},
    volume = {33},
    year = {2020}
}
Open Source Agenda is not affiliated with "Kalman Filtering Attention" Project. README Source: lucidrains/kalman-filtering-attention
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