Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series Forecasters
Retrieval-augmented time-series forecasting uses the continuations of historical segments similar to the current context as references for a forecaster. Most existing methods build the retrieval memory once from the training segment, leaving observations revealed after deployment unavailable as references, and generall...
Chao-Zhong He, Jian-Yu Xu, Xin-Yi Guo et al.
· 0 citations