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The Two Dimensions of Worst-case Training and the Integrated Effect for
  Out-of-domain Generalization

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization

Computer Vision and Pattern Recognition (CVPR), 2022
9 April 2022
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
ArXiv (abs)PDFHTML

Papers citing "The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization"

20 / 20 papers shown
Credal Graph Neural Networks
Credal Graph Neural Networks
Matteo Tolloso
Davide Bacciu
UQCV
292
0
0
02 Dec 2025
Robust Context-Aware Object Recognition
Robust Context-Aware Object Recognition
Klara Janouskova
Cristian Gavrus
Jirí Matas
192
0
0
01 Oct 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
Dongping Liao
X. Gao
Yabo Xu
Chengzhong Xu
FedMLVLM
272
0
0
28 Mar 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification TasksNeural Networks (NN), 2024
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCVBDL
590
22
0
28 Jan 2025
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
259
1
0
04 Sep 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
Decision-Focused Evaluation of Worst-Case Distribution Shift
Kevin Ren
Yewon Byun
Bryan Wilder
OffRL
241
3
0
04 Jul 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
FedMLTDI
590
2
0
17 Jun 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization
  via Extrapolation
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
Yijiang Li
Sucheng Ren
Weipeng Deng
Yuzhi Xu
Ying Gao
Edith C.H. Ngai
Haohan Wang
OOD
283
5
0
08 Mar 2024
Domain Invariant Learning for Gaussian Processes and Bayesian
  Exploration
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao
Siyuan Bian
Yaoyun Zhang
Yuliang Zhang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
265
2
0
18 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
452
1
0
26 Nov 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of
  Parameters
Domain Generalization Guided by Gradient Signal to Noise Ratio of ParametersIEEE International Conference on Computer Vision (ICCV), 2023
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
280
7
0
11 Oct 2023
A Sentence Speaks a Thousand Images: Domain Generalization through
  Distilling CLIP with Language Guidance
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceIEEE International Conference on Computer Vision (ICCV), 2023
Zeyi Huang
Andy Zhou
Zijian Lin
Mu Cai
Haohan Wang
Yong Jae Lee
VLMOOD
233
50
0
21 Sep 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
  Generalization
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Jintao Guo
Lei Qi
Yinghuan Shi
OOD
275
37
0
20 Aug 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Han Yu
Xingxuan Zhang
Renzhe Xu
Tianyu Wang
Yue He
Peng Cui
OOD
329
18
0
24 May 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency
  Transform for Domain Generalization
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Jintao Guo
Na Wang
Lei Qi
Yinghuan Shi
291
61
0
21 Mar 2023
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
324
4
0
09 Dec 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
230
5
0
25 Aug 2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for
  Robust Vision Learning
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning
Chonghan Chen
Haohan Wang
Leyang Hu
Yuhao Zhang
Shuguang Lyu
Jingcheng Wu
Xinnuo Li
Linjing Sun
Eric Xing
VLM
118
0
0
18 Jul 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
375
16
0
05 Nov 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,701
0
16 Feb 2016
1