Summary of Vision-language Model Fine-tuning Via Simple Parameter-efficient Modification, by Ming Li et al.
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modificationby Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li,…
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modificationby Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li,…
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Trainingby Kun Song, Zhiquan Tan, Bochao…
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuningby Qibin Wang, Xiaolin Hu, Weikai Xu, Wei…
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognitionby…
Fine-Tuning is Fine, if Calibratedby Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen,…
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentationby…
Zero-shot forecasting of chaotic systemsby Yuanzhao Zhang, William GilpinFirst submitted to arxiv on: 24 Sep…
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecastingby Xinxing Zhou, Jiaqi Ye, Shubao…
Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patternsby Yang Zhao, Li…
Aided design of bridge aesthetics based on Stable Diffusion fine-tuningby Leye Zhang, Xiangxiang Tian, Chengli…