AID, a stochastic activation applying different dropout rates to positive and negative preactivations, mitigates plasticity loss and improves continual learning, reinforcement learning, and standard supervised learning across several benchmarks.
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Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
AID, a stochastic activation applying different dropout rates to positive and negative preactivations, mitigates plasticity loss and improves continual learning, reinforcement learning, and standard supervised learning across several benchmarks.