Summary of Contributing Dimension Structure Of Deep Feature For Coreset Selection, by Zhijing Wan et al.
Contributing Dimension Structure of Deep Feature for Coreset Selectionby Zhijing Wan, Zhixiang Wang, Yuran Wang,…
Contributing Dimension Structure of Deep Feature for Coreset Selectionby Zhijing Wan, Zhixiang Wang, Yuran Wang,…
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Featuresby Hengyue Pan,…
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Trainingby Shruthi Gowda, Bahram Zonooz, Elahe…
Smooth Ranking SVM via Cutting-Plane Methodby Erhan Can Ozcan, Berk Görgülü, Mustafa G. Baydogan, Ioannis…
Can overfitted deep neural networks in adversarial training generalize? – An approximation viewpointby Zhongjie Shi,…
Momentum-SAM: Sharpness Aware Minimization without Computational Overheadby Marlon Becker, Frederick Altrock, Benjamin RisseFirst submitted to…
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustnessby Yifan Hao, Tong ZhangFirst submitted to…
An Improved Grey Wolf Optimization Algorithm for Heart Disease Predictionby Sihan Niu, Yifan Zhou, Zhikai…
Efficient local linearity regularization to overcome catastrophic overfittingby Elias Abad Rocamora, Fanghui Liu, Grigorios G.…
Decoupled Prototype Learning for Reliable Test-Time Adaptationby Guowei Wang, Changxing Ding, Wentao Tan, Mingkui TanFirst…