#elastic-weight-consolidation News & Analysis

2 articles tagged with #elastic-weight-consolidation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift

Researchers present CADRE, a parameter-efficient adaptation framework for medical vision-language models that addresses catastrophic forgetting and model drift when updating deployed systems. By combining low-rank adaptation with elastic weight consolidation and prior-anchoring penalties, CADRE reduces forgetting sevenfold while training only 0.23% of parameters, demonstrating improved stability across different medical imaging modalities.

AINeutralarXiv – CS AI · May 126/10

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Beyond the False Trade-off: Adaptive EWC for Stealthy and Generalizable T2I Backdoors

Researchers propose Cosine-Aware Adaptive Elastic Weight Consolidation (EWC) to improve text-to-image model backdoor attacks while maintaining model fidelity and generalization. The method addresses a fundamental trade-off between attack success and output quality by dynamically adjusting regularization weights based on semantic utility, achieving stronger performance on both in-domain and out-of-domain datasets compared to existing approaches.