AI RESEARCH
Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability
arXiv CS.LG
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ArXi:2604.21930v1 Announce Type: new Streaming Continual Learning (CL) typically converts a continuous stream into a sequence of discrete tasks through temporal partitioning. We argue that this temporal taskification step is not a neutral preprocessing choice, but a structural component of evaluation: different valid splits of the same stream can induce different CL regimes and. therefore. different benchmark