Summary of Cross-training with Multi-view Knowledge Fusion For Heterogenous Federated Learning, by Zhuang Qi et al.
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learningby Zhuang Qi, Lei Meng, Weihao He,…
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learningby Zhuang Qi, Lei Meng, Weihao He,…
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wildby Honghao Fu, Yufei…
Efficient LLM-Jailbreaking by Introducing Visual Modalityby Zhenxing Niu, Yuyao Sun, Haodong Ren, Haoxuan Ji, Quan…
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-trainingby Jinxia Yang, Bing…
Accurate and Reliable Predictions with Mutual-Transport Ensembleby Han Liu, Peng Cui, Bingning Wang, Jun Zhu,…
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fieldsby Haodi He, Colton Stearns, Adam W. Harley,…
Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussianby Wei Sun, Qi Zhang, Yanzhao Zhou,…
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedbackby Jingwei Sun, Zhixu…
Grade Like a Human: Rethinking Automated Assessment with Large Language Modelsby Wenjing Xie, Juxin Niu,…
Text Guided Image Editing with Automatic Concept Locating and Forgettingby Jia Li, Lijie Hu, Zhixian…