13 citations · 14 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
Haolin Chen, Philip N. Garner
Motivated by the sensitivity-based importance score of the adaptive low-rank adaptation (AdaLoRA), we utilize more theoretically supported metrics, including the signal-to-noise ra…
eess.AS2024★ 1 cited
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
Haolin Chen, Philip N. Garner
We are motivated primarily by the adaptation of text-to-speech synthesis models; however we argue that more generic parameter-efficient fine-tuning (PEFT) is an appropriate framewo…