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Found 2 papers, 2 papers with code
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Foundation models of time series have not been fully developed due to the limited availability of time series corpora and the underexploration of scalable pre-training.
Efficient ConvBN Blocks for Transfer Learning and Beyond
Subsequently, we propose a novel Tune mode to bridge the gap between Eval mode and Deploy mode.
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