// Link · 19 March 2026

The Fragile Memory of Neural Networks, and the Metrics We Trust

This study examines how catastrophic forgetting in neural networks is measured and influenced by training choices. By evaluating multiple metrics—retention, relearning, activation overlap, and interference—across different testbeds, it finds that no single metric fully captures the phenomenon. Cruci...

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