Summary of Dmin: Scalable Training Data Influence Estimation For Diffusion Models, by Huawei Lin et al.
DMin: Scalable Training Data Influence Estimation for Diffusion Modelsby Huawei Lin, Yingjie Lao, Weijie ZhaoFirst…
Summary of Gpd-1: Generative Pre-training For Driving, by Zixun Xie et al.
GPD-1: Generative Pre-training for Drivingby Zixun Xie, Sicheng Zuo, Wenzhao Zheng, Yunpeng Zhang, Dalong Du,…
Summary of Geoconformal Prediction: a Model-agnostic Framework Of Measuring the Uncertainty Of Spatial Prediction, by Xiayin Lou et al.
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial predictionby Xiayin Lou, Peng…
Summary of Mixture Of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification, by Xuanze Chen et al.
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classificationby Xuanze Chen,…
Summary of Analyzing and Mitigating Model Collapse in Rectified Flow Models, by Huminhao Zhu et al.
Analyzing and Mitigating Model Collapse in Rectified Flow Modelsby Huminhao Zhu, Fangyikang Wang, Tianyu Ding,…
Summary of Generate Any Scene: Evaluating and Improving Text-to-vision Generation with Scene Graph Programming, by Ziqi Gao et al.
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programmingby Ziqi Gao, Weikai…
Summary of How Does the Smoothness Approximation Method Facilitate Generalization For Federated Adversarial Learning?, by Wenjun Ding et al.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?by Wenjun Ding, Ying…
Summary of Adaptive Prompting For Continual Relation Extraction: a Within-task Variance Perspective, by Minh Le et al.
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspectiveby Minh Le, Tien Ngoc Luu,…
Summary of Towards Precision in Bolted Joint Design: a Preliminary Machine Learning-based Parameter Prediction, by Ines Boujnah et al.
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Predictionby Ines Boujnah, Nehal…
Summary of K-hyperedge Medoids For Clustering Ensemble, by Feijiang Li et al.
k-HyperEdge Medoids for Clustering Ensembleby Feijiang Li, Jieting Wang, Liuya zhang, Yuhua Qian, Shuai jin,…