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cs.IR2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories
Hiwot Tadese Kassa, Paul Johnson, Jason Akers +7
Recommendation models are very large, requiring terabytes (TB) of memory during training. In pursuit of better quality, the model size and complexity grow over time, which requires…
cs.IR2021
Tablext: A Combined Neural Network And Heuristic Based Table Extractor
Zach Colter, Morteza Fayazi, Zineb Benameur-El +3
A significant portion of the data available today is found within tables. Therefore, it is necessary to use automated table extraction to obtain thorough results when data-mining.…