Summary of Don’t Waste Your Time: Early Stopping Cross-validation, by Edward Bergman et al.
Don’t Waste Your Time: Early Stopping Cross-Validationby Edward Bergman, Lennart Purucker, Frank HutterFirst submitted to…
Summary of Byzantine-robust Gossip: Insights From a Dual Approach, by Renaud Gaucher et al.
Byzantine-Robust Gossip: Insights from a Dual Approachby Renaud Gaucher, Hadrien Hendrikx, Aymeric DieuleveutFirst submitted to…
Summary of A Lightweight Neural Architecture Search Model For Medical Image Classification, by Lunchen Xie et al.
A Lightweight Neural Architecture Search Model for Medical Image Classificationby Lunchen Xie, Eugenio Lomurno, Matteo…
Summary of Gi-smn: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge, by Jin Qian and Kaimin Wei and Yongdong Wu and Jilian Zhang and Jipeng Chen and Huan Bao
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledgeby Jin Qian, Kaimin Wei, Yongdong…
Summary of Position: Leverage Foundational Models For Black-box Optimization, by Xingyou Song et al.
Position: Leverage Foundational Models for Black-Box Optimizationby Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo…
Summary of Ililt: Implicit Learning Of Inverse Lithography Technologies, by Haoyu Yang et al.
ILILT: Implicit Learning of Inverse Lithography Technologiesby Haoyu Yang, Haoxing RenFirst submitted to arxiv on:…
Summary of Federated Reinforcement Learning with Constraint Heterogeneity, by Hao Jin et al.
Federated Reinforcement Learning with Constraint Heterogeneityby Hao Jin, Liangyu Zhang, Zhihua ZhangFirst submitted to arxiv…
Summary of Exploring the Frontiers Of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond, by Jiuxiang Gu et al.
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyondby Jiuxiang Gu,…
Summary of Spatial and Surface Correspondence Field For Interaction Transfer, by Zeyu Huang et al.
Spatial and Surface Correspondence Field for Interaction Transferby Zeyu Huang, Honghao Xu, Haibin Huang, Chongyang…
Summary of Ted: Accelerate Model Training by Internal Generalization, By Jinying Xiao et al.
TED: Accelerate Model Training by Internal Generalizationby Jinying Xiao, Ping Li, Jie NieFirst submitted to…