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Global-Local Regularization Via Distributional Robustness

Global-Local Regularization Via Distributional Robustness

1 March 2022
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
    OOD
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Papers citing "Global-Local Regularization Via Distributional Robustness"

11 / 11 papers shown
Title
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu
Yihan Wang
Yifan Zhu
Yibo Miao
Xiao-Shan Gao
63
0
0
06 Mar 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari
Abdullah Alchihabi
Hao Yan
Yuhong Guo
34
0
0
01 Mar 2025
Distributionally and Adversarially Robust Logistic Regression via
  Intersecting Wasserstein Balls
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Aras Selvi
Eleonora Kreacic
Mohsen Ghassemi
Vamsi K. Potluru
T. Balch
Manuela Veloso
37
0
0
18 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
43
5
0
05 Mar 2024
DRAUC: An Instance-wise Distributionally Robust AUC Optimization
  Framework
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Siran Dai
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
25
1
0
06 Nov 2023
Optimal Transport Model Distributional Robustness
Optimal Transport Model Distributional Robustness
Van-Anh Nguyen
Trung Le
Anh Tuan Bui
Thanh-Toan Do
Dinh Q. Phung
OOD
30
3
0
07 Jun 2023
Flat Seeking Bayesian Neural Networks
Flat Seeking Bayesian Neural Networks
Van-Anh Nguyen
L. Vuong
Hoang Phan
Thanh-Toan Do
Dinh Q. Phung
Trung Le
BDL
22
8
0
06 Feb 2023
Modeling Hierarchical Structural Distance for Unsupervised Domain
  Adaptation
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Yingxue Xu
Guihua Wen
Yang Hu
Pei Yang
OT
22
4
0
21 Nov 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
1