Last Updated：2025/11/30
In continual learning, catastrophic interference causes neural networks to abruptly and completely forget previously learned tasks when trained on new data.
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In continual learning, catastrophic interference causes neural networks to abruptly and completely forget previously learned tasks when trained on new data.
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