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Is Channel Independent strategy optimal for Time Series Forecasting?
In this paper, we reconsider whether the current CI strategy is the best solution for time series forecasting.
ANAct: Adaptive Normalization for Activation Functions
First, We examine how activation functions affect the forward and backward propagation of neural networks and derive a general form for gradient variance that extends the previous work in this area.
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