# SIGMOD 2023

## Meta Info

Homepage: <https://2023.sigmod.org/>

### Paper List

Research Papers: <https://2023.sigmod.org/sigmod_research_list.shtml>

Industrial Papers: <https://2023.sigmod.org/sigmod_industrial_list.shtml>

Demo Papers: <https://2023.sigmod.org/sigmod_demo_list.shtml>

## Papers

* GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning \[[Paper](https://dl.acm.org/doi/10.1145/3589773)]
  * Alibaba & PKU