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Invariant Learning via Probability of Sufficient and Necessary Causes
22 September 2023
Mengyue Yang
Zhen Fang
Yonggang Zhang
Yali Du
Furui Liu
Jean-François Ton
Jianhong Wang
Jun Wang
OODD
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Papers citing
"Invariant Learning via Probability of Sufficient and Necessary Causes"
16 / 16 papers shown
Title
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
Yuanchao Wang
Zhao-Rong Lai
Tianqi Zhong
64
1
0
27 Feb 2025
Medical Image Quality Assessment based on Probability of Necessity and Sufficiency
Boyu Chen
A. L. Solebo
Weiye Bao
Paul Taylor
24
1
0
10 Oct 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
Boyu Chen
Junjie Liu
Zhu Li
Mengyue yang
25
1
0
29 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
37
2
0
03 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
44
0
0
21 Jul 2024
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Wenwen Qiang
Jianwen Cao
CML
34
1
0
17 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
30
0
0
24 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
Lei Wang
Desen Yuan
AAML
OOD
20
1
0
30 Apr 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
19
2
0
14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen
Ruichu Cai
Zhengting Huang
Yuxuan Zhu
Julien Horwood
Zhifeng Hao
Zijian Li
Jose Miguel Hernandez-Lobato
AAML
36
2
0
13 Feb 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
24
2
0
19 Dec 2023
Causal Estimation with Functional Confounders
A. Puli
A. Perotte
Rajesh Ranganath
24
12
0
17 Feb 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
898
0
02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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