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Found 2 papers, 1 papers with code
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
When progressing to a new session, pseudo-features are sampled from old-class distributions combined with training images of the current session to optimize the prompt, thus enabling the model to learn new knowledge while retaining old knowledge.
Once and for All: Scheduling Multiple Users Using Statistical CSI under Fixed Wireless Access
In this paper, we investigate the scheduling problem of a fixed wireless access (FWA) network using only statistical CSI.
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