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To address catastrophic forgetting in continual learning through structured spectral constraints.

March 23, 2026Open Access

Spectral Constraints Resolve the Stability--Plasticity Tradeoff in Continual Learning

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To address catastrophic forgetting in continual learning through structured spectral constraints.
Introduced a spectral constraint to enhance task-relevant stability
Combines hard projection and soft regularization in training
Conducted repeated-seed experiments and scaling tests with increasing model size
Achieved nearly two orders of magnitude reduction in catastrophic forgetting compared to unconstrained training
Preserved forward performance while implementing the spectral constraint
Demonstrated effectiveness across multi-task transitions without cumulative degradation

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Hybrid method suppresses catastrophic forgetting in continual learning, implying improved long-term performance.

Andrew Kim (2026) studied this question.

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