ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.06656
  4. Cited By
Causally Regularized Learning with Agnostic Data Selection Bias

Causally Regularized Learning with Agnostic Data Selection Bias

22 August 2017
Zheyan Shen
Peng Cui
Kun Kuang
B. Li
Peixuan Chen
    OOD
ArXivPDFHTML

Papers citing "Causally Regularized Learning with Agnostic Data Selection Bias"

13 / 13 papers shown
Title
Stable Learning via Sparse Variable Independence
Stable Learning via Sparse Variable Independence
Han Yu
Peng Cui
Yue He
Zheyan Shen
Yong Lin
Renzhe Xu
Xingxuan Zhang
OOD
28
13
0
02 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution
  Generalization in Federated Learning
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning
Xueyang Tang
Song Guo
Jie M. Zhang
FedML
OODD
OOD
26
3
0
21 Nov 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
25
25
0
22 Aug 2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition
  Analysis for Adversarial Multi-task Video Understanding
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Stephen Su
Sam Kwong
Qingyu Zhao
De-An Huang
Juan Carlos Niebles
Ehsan Adeli
15
0
0
22 Aug 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
29
38
0
19 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
19
97
0
07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Shaohua Fan
Xiao Wang
Chuan Shi
Peng Cui
Bai Wang
CML
OOD
OODD
AI4CE
39
81
0
20 Nov 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
29
515
0
31 Aug 2021
Analysis and Applications of Class-wise Robustness in Adversarial
  Training
Analysis and Applications of Class-wise Robustness in Adversarial Training
Qi Tian
Kun Kuang
Ke Jiang
Fei Wu
Yisen Wang
AAML
16
46
0
29 May 2021
Learning Causal Semantic Representation for Out-of-Distribution
  Prediction
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang-Shu Liu
Xinwei Sun
Jindong Wang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CML
OODD
OOD
19
104
0
03 Nov 2020
When is invariance useful in an Out-of-Distribution Generalization
  problem ?
When is invariance useful in an Out-of-Distribution Generalization problem ?
Masanori Koyama
Shoichiro Yamaguchi
OOD
26
65
0
04 Aug 2020
Stable Prediction with Model Misspecification and Agnostic Distribution
  Shift
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
Kun Kuang
Ruoxuan Xiong
Peng Cui
Susan Athey
Bo-wen Li
OOD
19
128
0
31 Jan 2020
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
Xirong Li
Chaoxi Xu
Xiaoxu Wang
Weiyu Lan
Zhengxiong Jia
Gang Yang
Jieping Xu
14
148
0
22 May 2018
1