Gradual task transitions, simulated by interpolation or sampling, prevent most plasticity loss, indicating abrupt task boundaries are the main driver.
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Do Neural Networks Lose Plasticity in a Gradually Changing World?
Gradual task transitions, simulated by interpolation or sampling, prevent most plasticity loss, indicating abrupt task boundaries are the main driver.