Congratulations to the #AAAI2021 best paper winners

AIHub 

The AAAI-21 best paper awards were announced on Thursday 4th February during the opening ceremony of AAAI 2021. There were three best papers, three best paper runners-up, and six distinguished papers. Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands a high prediction capacity of the model, which is the ability to capture precise long-range dependency coupling between output and input efficiently. Recent studies have shown the potential of Transformer to increase the prediction capacity.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found