Summary of Mamba State-space Models Are Lyapunov-stable Learners, by John T. Halloran et al.
Mamba State-Space Models Are Lyapunov-Stable Learnersby John T. Halloran, Manbir Gulati, Paul F. RoysdonFirst submitted…
Summary of Spectrum-aware Parameter Efficient Fine-tuning For Diffusion Models, by Xinxi Zhang et al.
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Modelsby Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu,…
Summary of Ether: Efficient Finetuning Of Large-scale Models with Hyperplane Reflections, by Massimo Bini et al.
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflectionsby Massimo Bini, Karsten Roth, Zeynep Akata,…
Summary of Svft: Parameter-efficient Fine-tuning with Singular Vectors, by Vijay Lingam et al.
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectorsby Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham…
Summary of Domain-inspired Sharpness-aware Minimization Under Domain Shifts, by Ruipeng Zhang et al.
Domain-Inspired Sharpness-Aware Minimization Under Domain Shiftsby Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng…
Summary of Safe Lora: the Silver Lining Of Reducing Safety Risks When Fine-tuning Large Language Models, by Chia-yi Hsu et al.
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Modelsby Chia-Yi…
Summary of Spp: Sparsity-preserved Parameter-efficient Fine-tuning For Large Language Models, by Xudong Lu et al.
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Modelsby Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui…
Summary of Prompt Tuning Strikes Back: Customizing Foundation Models with Low-rank Prompt Adaptation, by Abhinav Jain et al.
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptationby Abhinav Jain, Swarat Chaudhuri,…
Summary of In-context Time Series Predictor, by Jiecheng Lu et al.
In-context Time Series Predictorby Jiecheng Lu, Yan Sun, Shihao YangFirst submitted to arxiv on: 23…
Summary of Lora-ensemble: Efficient Uncertainty Modelling For Self-attention Networks, by Michelle Halbheer et al.
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networksby Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik…