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Out-of-distribution Generalization with Causal Invariant Transformations

Out-of-distribution Generalization with Causal Invariant Transformations

22 March 2022
Ruoyu Wang
Mingyang Yi
Zhitang Chen
Shengyu Zhu
    OOD
    OODD
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Papers citing "Out-of-distribution Generalization with Causal Invariant Transformations"

12 / 12 papers shown
Title
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
29
0
0
26 Nov 2023
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
On Counterfactual Data Augmentation Under Confounding
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
28
0
0
29 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Non-parametric identifiability and sensitivity analysis of synthetic
  control models
Non-parametric identifiability and sensitivity analysis of synthetic control models
Jakob Zeitler
Athanasios Vlontzos
Ciarán M. Gilligan-Lee
CML
24
6
0
18 Jan 2023
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
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
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
196
125
0
04 Jan 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
204
404
0
12 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
900
0
02 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
436
0
25 Sep 2019
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