Zeke Xie

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Zeke Xie, Fengxiang He, Shaopeng Fu et al. · Neural Computation · 2021 · 48 citations

Artificial Intelligence, Motor Learning, Engineering +16

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields

Zeke Xie, Xindi Yang, Yujie Yang et al. · 2023 · 36 citations

Stochastic Structural Similarity, Geometric Learning, Engineering +25

A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima

Zeke Xie, Issei Sato, Masashi Sugiyama · arXiv (Cornell University) · 2020 · 26 citations · Full text

Model Optimization, Gradient Descent, Engineering +13

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Shuo Yang, Zeke Xie, Hanyu Peng et al. · arXiv (Cornell University) · 2022 · 21 citations · Full text

Neural Scaling Law, Engineering, Machine Learning +13

Stable Weight Decay Regularization

Zeke Xie, Issei Sato, Masashi Sugiyama · arXiv (Cornell University) · 2021 · 17 citations · Full text

Numerical Analysis, Artificial Intelligence, Convolutional Neural Network +16