Summary of K-means Derived Unsupervised Feature Selection Using Improved Admm, by Ziheng Sun et al.
K-means Derived Unsupervised Feature Selection using Improved ADMMby Ziheng Sun, Chris Ding, Jicong FanFirst submitted…
K-means Derived Unsupervised Feature Selection using Improved ADMMby Ziheng Sun, Chris Ding, Jicong FanFirst submitted…
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generationby Yucheng Xing, Xiaodong Liu, Xin WangFirst…
Multimodal large language model for wheat breeding: a new exploration of smart breedingby Guofeng Yang,…
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learningby Junjie Shan, Ziqi Zhao, Jialin Lu, Rui…
Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approachby Lars Nieradzik, Henrike Stephani, Janis…
Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturingby Miriam Alber, Christoph Hönes,…
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinementby Jieming Bian, Lei Wang, Letian Zhang,…
Adaptive Group Robust Ensemble Knowledge Distillationby Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi KahouFirst submitted to…
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentationby Colin Diggs, Michael…
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representationsby Guojun Xiong, Shufan…