From the 1 of 18 linked papers with an AI index.
5 papers · 1 filter
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds
Jiaxin Deng, Junbiao Pang
Sharpness-Aware Minimization (SAM) improves generalization by seeking parameters whose loss is robust to local adversarial perturbations, but the quantitative mechanism underlying…
From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning
Jiaxin Deng, Junbiao Pang
Long-tailed learning couples two sources of poor generalization: head classes dominate training exposure, while under-represented classes often converge to sharper regions of the l…
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization
Zhen Huang, Jiaxin Deng, Junbiao Pang
Sharpness-Aware Minimization (SAM) improves generalization by minimizing the worst-case loss in a local parameter neighborhood. Standard SAM implicitly allocates its global perturb…
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning
Zhen Huang, Peicheng Xu, Junbiao Pang +1
Sparse feature selection is critical for high-dimensional machine learning, yet traditional -regularized methods are often brittle under observational noise and spurious co…
Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS
Jiaxin Deng, Junbiao Pang, Jiayu Xu +1
In our urban life, long distance coaches supply a convenient yet economic approach to the transportation of the public. One notable problem is to discover the abnormal stop of the…