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Zeke Xie
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 22
Top Topics
Stochastic Gradient
Diffusion Models
Avoid Overfitting
Deep Learning
Top Venues
CoRR
ICML
ICLR
NeurIPS
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Publications
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Hanzhang Wang
,
Haoran Wang
,
Jinze Yang
,
Zhongrui Yu
,
Zeke Xie
,
Lei Tian
,
Xinyan Xiao
,
Junjun Jiang
,
Xianming Liu
,
Mingming Sun
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models.
CoRR
(2024)
Zeke Xie
,
Zhiqiang Xu
,
Jingzhao Zhang
,
Issei Sato
,
Masashi Sugiyama
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective.
NeurIPS
(2023)
Zeke Xie
,
Qian-Yuan Tang
,
Mingming Sun
,
Ping Li
On the Overlooked Structure of Stochastic Gradients.
NeurIPS
(2023)
Zeke Xie
,
Xindi Yang
,
Yujie Yang
,
Qi Sun
,
Yixiang Jiang
,
Haoran Wang
,
Yunfeng Cai
,
Mingming Sun
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields.
ICCV
(2023)
Shuo Yang
,
Zeke Xie
,
Hanyu Peng
,
Min Xu
,
Mingming Sun
,
Ping Li
Dataset Pruning: Reducing Training Data by Examining Generalization Influence.
ICLR
(2023)
Zeke Xie
,
Xindi Yang
,
Yujie Yang
,
Qi Sun
,
Yixiang Jiang
,
Haoran Wang
,
Yunfeng Cai
,
Mingming Sun
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields.
CoRR
(2023)
Shuo Yang
,
Zeke Xie
,
Hanyu Peng
,
Min Xu
,
Mingming Sun
,
Ping Li
Dataset Pruning: Reducing Training Data by Examining Generalization Influence.
CoRR
(2022)
Zeke Xie
,
Xinrui Wang
,
Huishuai Zhang
,
Issei Sato
,
Masashi Sugiyama
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum.
ICML
(2022)
Zheng He
,
Zeke Xie
,
Quanzhi Zhu
,
Zengchang Qin
Sparse Double Descent: Where Network Pruning Aggravates Overfitting.
CoRR
(2022)
Zeke Xie
,
Qian-Yuan Tang
,
Zheng He
,
Mingming Sun
,
Ping Li
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence.
CoRR
(2022)
Zeke Xie
,
Qian-Yuan Tang
,
Yunfeng Cai
,
Mingming Sun
,
Ping Li
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science.
CoRR
(2022)
Zheng He
,
Zeke Xie
,
Quanzhi Zhu
,
Zengchang Qin
Sparse Double Descent: Where Network Pruning Aggravates Overfitting.
ICML
(2022)
Zeke Xie
,
Issei Sato
,
Masashi Sugiyama
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima.
ICLR
(2021)
Zeke Xie
,
Fengxiang He
,
Shaopeng Fu
,
Issei Sato
,
Dacheng Tao
,
Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
Neural Comput.
33 (8) (2021)
Zeke Xie
,
Li Yuan
,
Zhanxing Zhu
,
Masashi Sugiyama
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization.
ICML
(2021)
Zeke Xie
,
Li Yuan
,
Zhanxing Zhu
,
Masashi Sugiyama
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization.
CoRR
(2021)
Zeke Xie
,
Issei Sato
,
Masashi Sugiyama
A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.
CoRR
(2020)
Zeke Xie
,
Xinrui Wang
,
Huishuai Zhang
,
Issei Sato
,
Masashi Sugiyama
Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia.
CoRR
(2020)
Zeke Xie
,
Issei Sato
,
Masashi Sugiyama
Stable Weight Decay Regularization.
CoRR
(2020)
Zeke Xie
,
Fengxiang He
,
Shaopeng Fu
,
Issei Sato
,
Dacheng Tao
,
Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
CoRR
(2020)
Zeke Xie
,
Issei Sato
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors.
CoRR
(2017)
Zeke Xie
,
Issei Sato
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors.
ACML
(2017)