RETROFIT enables continual learning for malware detection and binary summarization by retrospective-free parameter merging with low-rank sparse updates and confidence-guided arbitration, improving retention and generalization without historical data.
Expe- rience replay for continual learning,
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UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.
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Retrofit: Continual Learning with Controlled Forgetting for Binary Security Detection and Analysis
RETROFIT enables continual learning for malware detection and binary summarization by retrospective-free parameter merging with low-rank sparse updates and confidence-guided arbitration, improving retention and generalization without historical data.
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Uncertainty-Weighted Experience Replay for Continual MIMO Channel Prediction
UW-ER integrates predictive uncertainty into experience replay for stable online CSI prediction in MIMO systems, showing NMSE near 0 dB and strong uncertainty-error correlation on 3GPP data.