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Found 2 papers, 1 papers with code
Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models
To mitigate this issue, we propose Stable PrivateLoRA that adapts the LDM by minimizing the ratio of the adaptation loss to the MI gain, which implicitly rescales the gradient and thus stabilizes the optimization.
Recurring Concept Meta-learning for Evolving Data Streams
The novelty of ECPF is in how it uses similarity of classifications on new data, between a new classifier and existing classifiers, to quickly identify the best classifier to reuse.
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