SOURCE-LINKED INTELLIGENCE
Beyond Class Marginals: Bounding Rehearsal Gaps without Freezing Class Co-occurrence
Class-balanced replay controls class frequency but does not determine the interval between successive replay appearances of a class. We study this interval, the rehearsal gap, separately from the class marginal and class co-occurrence, and introduce randomised-pass replay (RPR), which visits each resident class once per shuffled pass. For a fixed set of C resident classes and replay batch size b less than or equal to C, RPR preserves the balanced time-averaged class marginal and bounds every gap by 2*ceil(C/b)-1; a churn-conditional bound applies while the resident set changes. The scheduler u
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T06:12:27.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.