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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
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
K. Wang
Bo Li
31
0
0
12 May 2025
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
Charita Dellaporta
Patrick O'Hara
Theodoros Damoulas
38
0
0
06 May 2025
Risk Analysis and Design Against Adversarial Actions
Risk Analysis and Design Against Adversarial Actions
M. Campi
A. Carè
Luis G. Crespo
S. Garatti
Federico A. Ramponi
AAML
121
0
0
02 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Tianyi Zhou
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
168
1
0
02 May 2025
A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models
A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models
C. Wang
Dongyao Jia
Wei Wang
Dong Ngoduy
Bei Peng
Jianping Wang
19
0
0
19 Apr 2025
LLM Social Simulations Are a Promising Research Method
LLM Social Simulations Are a Promising Research Method
Jacy Reese Anthis
Ryan Liu
Sean M. Richardson
Austin C. Kozlowski
Bernard Koch
James A. Evans
Erik Brynjolfsson
Michael S. Bernstein
ALM
51
5
0
03 Apr 2025
A scalable gene network model of regulatory dynamics in single cells
A scalable gene network model of regulatory dynamics in single cells
Paul Bertin
J. Viviano
Alejandro Tejada-Lapuerta
Weixu Wang
Stefan Bauer
Fabian J. Theis
Yoshua Bengio
38
0
0
25 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang
Silu He
Qinyao Luo
Hongyuan Yuan
Ling Zhao
Jiawei Zhu
Haifeng Li
OOD
64
0
0
25 Mar 2025
Graph neural networks extrapolate out-of-distribution for shortest paths
Graph neural networks extrapolate out-of-distribution for shortest paths
Robert Nerem
Samantha Chen
Sanjoy Dasgupta
Yusu Wang
42
0
0
24 Mar 2025
Riemannian Geometric-based Meta Learning
JuneYoung Park
YuMi Lee
Tae Joon Kim
Jang-Hwan Choi
50
0
0
14 Mar 2025
Enhancing Deep Learning Based Structured Illumination Microscopy Reconstruction with Light Field Awareness
Long-Kun Shan
Ze-Hao Wang
Tong-Tian Weng
Xiang-Dong Chen
Fang-Wen Sun
45
0
0
14 Mar 2025
Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
Huilin Deng
Ding Zou
Rui Ma
Hongchen Luo
Yang Cao
Yu Kang
LRM
VLM
52
8
0
10 Mar 2025
Unseen Fake News Detection Through Casual Debiasing
Shuzhi Gong
Richard Sinnott
Jianzhong Qi
Cécile Paris
CML
36
0
0
06 Mar 2025
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach
Xiangtong Yao
Yirui Zhou
Y. Meng
Liangyu Dong
Lin Hong
Zitao Zhang
Zhenshan Bing
Kai Huang
Fuchun Sun
Alois C. Knoll
77
0
0
24 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
66
0
0
18 Feb 2025
A Communication Framework for Compositional Generation
A Communication Framework for Compositional Generation
Rafael Elberg
Mircea Petrache
Denis Parra
88
0
0
17 Feb 2025
Develop AI Agents for System Engineering in Factorio
Develop AI Agents for System Engineering in Factorio
Neel Kant
37
0
0
03 Feb 2025
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
94
2
0
03 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing-Wu Guo
Yi Chang
63
0
0
08 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Jialong Wang
Yang Li
Wenwu Zhu
CML
OOD
60
4
0
31 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
180
0
0
18 Dec 2024
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
Yuxi Sun
Wei Gao
Jing Ma
Hongzhan Lin
Ziyang Luo
Wenxuan Zhang
ELM
82
0
0
17 Dec 2024
Learning Latent Spaces for Domain Generalization in Time Series
  Forecasting
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
Songgaojun Deng
Maarten de Rijke
CML
AI4TS
OOD
BDL
68
0
0
15 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey
Safety Monitoring of Machine Learning Perception Functions: a Survey
Raul Sena Ferreira
Joris Guérin
Kevin Delmas
Jérémie Guiochet
H. Waeselynck
67
0
0
09 Dec 2024
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
Rongqing Li
Jiaqi Yu
Changsheng Li
Wenhan Luo
Ye Yuan
Guoren Wang
MLAU
78
0
0
08 Dec 2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution
  Detection in Gastrointestinal Vision
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel
Sanjay Bhandari
Sharib Ali
Tryphon Lambrou
Anh Nguyen
Y. Shrestha
Angus Watson
Danail Stoyanov
P. Gyawali
Binod Bhattarai
64
1
0
02 Dec 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
75
1
0
23 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual
  Out-of-Distribution Detector
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
Jiankang Chen
Ling Deng
Zhiyong Gan
Wei-Shi Zheng
Ruixuan Wang
OODD
84
0
0
22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual
  Out-of-Distribution Detection
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
109
2
0
22 Nov 2024
Drone Detection using Deep Neural Networks Trained on Pure Synthetic
  Data
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
Mariusz Wisniewski
Zeeshan A. Rana
Ivan Petrunin
Alan Holt
Stephen Harman
26
1
0
13 Nov 2024
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
Haoxin Liu
Chenghao Liu
B. Prakash
AI4TS
LRM
88
6
0
09 Nov 2024
Problem Space Transformations for Generalisation in Behavioural Cloning
Problem Space Transformations for Generalisation in Behavioural Cloning
Kiran Doshi
Marco Bagatella
Stelian Coros
33
0
0
06 Nov 2024
Federated Learning with Relative Fairness
Federated Learning with Relative Fairness
Shogo H. Nakakita
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
Masaaki Imaizumi
FedML
30
2
0
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Reconstructing dynamics from sparse observations with no training on
  target system
Reconstructing dynamics from sparse observations with no training on target system
Zheng-Meng Zhai
Jun-Yin Huang
Benjamin D. Stern
Y. Lai
28
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FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
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FedML
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AI4CE
49
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DeCaf: A Causal Decoupling Framework for OOD Generalization on Node
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Generalization from Starvation: Hints of Universality in LLM Knowledge
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OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
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Darvin Yi
27
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FedGCA: Global Consistent Augmentation Based Single-Source Federated
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Shu Wang
Zhe Qu
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Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
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