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Towards Out-Of-Distribution Generalization: A Survey

Towards Out-Of-Distribution Generalization: A Survey

31 August 2021
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
    CML
    OOD
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Papers citing "Towards Out-Of-Distribution Generalization: A Survey"

50 / 322 papers shown
Title
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Bertrand Charpentier
Chenxiang Zhang
Stephan Günnemann
UQCV
OOD
AI4CE
29
6
0
10 Mar 2023
Environment Invariant Linear Least Squares
Environment Invariant Linear Least Squares
Jianqing Fan
Cong Fang
Yihong Gu
Tong Zhang
OOD
64
12
0
06 Mar 2023
Diagnosing Model Performance Under Distribution Shift
Diagnosing Model Performance Under Distribution Shift
Tiffany Cai
Hongseok Namkoong
Steve Yadlowsky
32
27
0
03 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust
  Representations
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
Xuyang Zhao
Tianqi Du
Yisen Wang
Jun Yao
Weiran Huang
36
13
0
02 Mar 2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution
  Perspective
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang
Xixu Hu
Wenxin Hou
Hao Chen
Runkai Zheng
...
Weirong Ye
Xiubo Geng
Binxing Jiao
Yue Zhang
Xingxu Xie
AI4MH
39
219
0
22 Feb 2023
On the Stability and Generalization of Triplet Learning
On the Stability and Generalization of Triplet Learning
Jun Chen
H. Chen
Xue Jiang
Bin Gu
Weifu Li
Tieliang Gong
Feng Zheng
24
4
0
20 Feb 2023
Improving the Out-Of-Distribution Generalization Capability of Language
  Models: Counterfactually-Augmented Data is not Enough
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
CML
OODD
19
3
0
18 Feb 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Rui Zhang
Qi Meng
Rongchan Zhu
Yue Wang
Wenlei Shi
Shihua Zhang
Zhi-Ming Ma
Tie-Yan Liu
DiffM
AI4CE
44
4
0
10 Feb 2023
Perfect is the enemy of test oracle
Perfect is the enemy of test oracle
Ali Reza Ibrahimzada
Yigit Varli
Dilara Tekinoglu
Reyhaneh Jabbarvand
ELM
AAML
VLM
27
20
0
03 Feb 2023
Understanding Finetuning for Factual Knowledge Extraction from Language
  Models
Understanding Finetuning for Factual Knowledge Extraction from Language Models
Mehran Kazemi
Sid Mittal
Deepak Ramachandran
KELM
31
10
0
26 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
28
60
0
24 Jan 2023
Warning: Humans Cannot Reliably Detect Speech Deepfakes
Warning: Humans Cannot Reliably Detect Speech Deepfakes
Kimberly T. Mai
Sergi D. Bray
Toby O. Davies
Lewis D. Griffin
37
40
0
19 Jan 2023
Modeling Uncertain Feature Representation for Domain Generalization
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li
Zixuan Hu
Jun Liu
Yixiao Ge
Yongxing Dai
Ling-Yu Duan
OOD
24
3
0
16 Jan 2023
Structural State Translation: Condition Transfer between Civil
  Structures Using Domain-Generalization for Structural Health Monitoring
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring
Furkan Luleci
F. Catbas
22
2
0
28 Dec 2022
IPProtect: protecting the intellectual property of visual datasets
  during data valuation
IPProtect: protecting the intellectual property of visual datasets during data valuation
Gursimran Singh
Chendi Wang
Ahnaf Tazwar
Lanjun Wang
Yong Zhang
12
0
0
22 Dec 2022
Target Conditioned Representation Independence (TCRI); From
  Domain-Invariant to Domain-General Representations
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations
Olawale Salaudeen
Oluwasanmi Koyejo
32
2
0
21 Dec 2022
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Ibrahim M. Alabdulmohsin
Nicole Chiou
Alexander DÁmour
A. Gretton
Sanmi Koyejo
Matt J. Kusner
Stephen R. Pfohl
Olawale Salaudeen
Jessica Schrouff
Katherine Tsai
65
9
0
21 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization
  via Feature-targeted Model Pruning
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
Jiewei Zhang
OODD
34
16
0
19 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Jian Guo
Sai Wang
L. Ni
H. Shum
AIFin
19
8
0
13 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution
  Generalisation
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Toan Nguyen
Kien Do
D. Nguyen
Bao Duong
T. Nguyen
CML
OODD
OOD
33
10
0
06 Dec 2022
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
Domain Generalization for Robust Model-Based Offline Reinforcement
  Learning
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Alan Clark
Shoaib Ahmed Siddiqui
Robert Kirk
Usman Anwar
Stephen Chung
David M. Krueger
OOD
OffRL
25
0
0
27 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and
  Opportunities
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
29
2
0
26 Nov 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
36
3
0
21 Nov 2022
Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Yufan Liao
Qi Wu
Zhaodi Wu
Xing Yan
11
4
0
18 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINN
AI4CE
25
89
0
15 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa
Ryota Kanai
ELM
LRM
20
4
0
14 Nov 2022
Knowledge is Power: Understanding Causality Makes Legal judgment
  Prediction Models More Generalizable and Robust
Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust
Haotian Chen
Lingwei Zhang
Yiran Liu
Fanchao Chen
Yang Yu
AILaw
ELM
30
5
0
06 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate
  Distribution Shift
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Yongduo Sui
Qitian Wu
Jiancan Wu
Qing Cui
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
17
32
0
05 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for
  Continuous Sign Language Recognition
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
Youngjoon Jang
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
Joon Son Chung
In So Kweon
SLR
24
12
0
01 Nov 2022
Measures of Information Reflect Memorization Patterns
Measures of Information Reflect Memorization Patterns
Rachit Bansal
Danish Pruthi
Yonatan Belinkov
25
8
0
17 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie-jin Yang
19
10
0
17 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
30
31
0
14 Oct 2022
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in
  Fine-tuned Source Code Models
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
Hossein Hajipour
Ning Yu
Cristian-Alexandru Staicu
Mario Fritz
OODD
19
4
0
10 Oct 2022
Association Graph Learning for Multi-Task Classification with Category
  Shifts
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
M. Worring
OOD
33
4
0
10 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
114
93
0
06 Oct 2022
Time Will Change Things: An Empirical Study on Dynamic Language
  Understanding in Social Media Classification
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification
Yuji Zhang
Jing Li
35
5
0
06 Oct 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human
  Moral Judgment
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
Zhijing Jin
Sydney Levine
Fernando Gonzalez
Ojasv Kamal
Maarten Sap
Mrinmaya Sachan
Rada Mihalcea
J. Tenenbaum
Bernhard Schölkopf
ELM
LRM
23
90
0
04 Oct 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale
  Constraints
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
Jiajin Li
Si-Jian Lin
Jose H. Blanchet
Viet Anh Nguyen
OOD
39
11
0
04 Oct 2022
Domain Generalization -- A Causal Perspective
Domain Generalization -- A Causal Perspective
Paras Sheth
Raha Moraffah
K. S. Candan
A. Raglin
Huan Liu
CML
OOD
48
17
0
30 Sep 2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud
Hasan Hammoud
Motasem Alfarra
Bernard Ghanem
OOD
53
8
0
29 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
20
4
0
26 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
35
2
0
23 Sep 2022
Generalizing through Forgetting -- Domain Generalization for Symptom
  Event Extraction in Clinical Notes
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes
Sitong Zhou
K. Lybarger
Meliha Yetisgen-Yildiz
Mari Ostendorf
32
2
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20 Sep 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a
  Polynomial Net Study
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
28
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Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu
Weili Nie
De-An Huang
Zhiding Yu
Tom Goldstein
Anima Anandkumar
Chaowei Xiao
VLM
VPVLM
186
280
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Generalization in Neural Networks: A Broad Survey
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OOD
AI4CE
11
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The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
54
181
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Domain Adaptation Principal Component Analysis: base linear method for
  learning with out-of-distribution data
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes
Jonathan Bac
Aziz Fouché
Sergey V. Stasenko
A. Zinovyev
Alexander N. Gorban
OOD
14
15
0
28 Aug 2022
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