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cs.CL2024
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
Xinxin Liu, Aaron Thomas, Cheng Zhang +3
Parameter-Efficient Fine-Tuning (PEFT) has gained prominence through low-rank adaptation methods like LoRA. In this paper, we focus on sparsity-based PEFT (SPEFT), which introduces…
quant-ph2024★ 2 cited
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
Aaron Mark Thomas, Harry Youel, Sharu Theresa Jose
Recent proposals for quantum generative adversarial networks (GANs) suffer from the issue of mode collapse, analogous to classical GANs, wherein the distribution learnt by the GAN…