Less is better: Unweighted data subsampling via influence function

Z Wang, H Zhu, Z Dong, X He, SL Huang - Proceedings of the AAAI …, 2020 - aaai.org
In the time of Big Data, training complex models on large-scale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …
被引用次数：56 相关文章
[PDF] researchgate.net

[PDF][PDF] Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - 2020 - researchgate.net
In the time of Big Data, training complex models on largescale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …

Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - arXiv preprint arXiv:1912.01321, 2019 - arxiv.org
In the time of Big Data, training complex models on large-scale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …
[PDF] archive.org

[PDF][PDF] Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - 2020 - scholar.archive.org
In the time of Big Data, training complex models on largescale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …
[PDF] academia.edu

[PDF][PDF] Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - 2020 - academia.edu
In the time of Big Data, training complex models on largescale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …
[PDF] aaai.org

[PDF][PDF] Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - 2020 - cdn.aaai.org
In the time of Big Data, training complex models on largescale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …

Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - Proceedings of the AAAI …, 2020 - ojs.aaai.org
In the time of Big Data, training complex models on large-scale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …

Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
In the time of Big Data, training complex models on large-scale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …
[PDF] researchgate.net

[PDF][PDF] Less Is Better: Unweighted Data Subsampling via Influence Function

Z Wang, H Zhu, Z Dong, X He, SL Huang - 2020 - researchgate.net
In the time of Big Data, training complex models on largescale data sets is challenging,
making it appealing to reduce data volume for saving computation resources by …