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Out of Distribution Generalization in Machine Learning

Out of Distribution Generalization in Machine Learning

3 March 2021
Martín Arjovsky
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Out of Distribution Generalization in Machine Learning"

50 / 51 papers shown
Title
When can in-context learning generalize out of task distribution?
When can in-context learning generalize out of task distribution?
Chase Goddard
Lindsay M. Smith
Vudtiwat Ngampruetikorn
David J. Schwab
OOD
30
0
0
05 Jun 2025
Weight-Space Linear Recurrent Neural Networks
Weight-Space Linear Recurrent Neural Networks
Roussel Desmond Nzoyem
Nawid Keshtmand
Idriss Tsayem
David A.W. Barton
Tom Deakin
36
0
0
01 Jun 2025
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
Ke Niu
Z. Chen
Haiyang Yu
Yuwen Chen
Teng Fu
Mengyang Zhao
Bin Li
Xiangyang Xue
25
0
0
31 May 2025
Robust Invariant Representation Learning by Distribution Extrapolation
Robust Invariant Representation Learning by Distribution Extrapolation
Kotaro Yoshida
Konstantinos Slavakis
OOD
99
0
0
22 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
Dinesh Manocha
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
510
2
0
02 May 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
LRMVLM
115
22
0
10 Mar 2025
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
170
1
0
31 Oct 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with
  Brain-machine Fusion Learning Framework
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
Shuangchen Zhao
Changde Du
Hui Li
Huiguang He
72
0
0
27 Aug 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
101
2
0
30 Jun 2024
Domain Generalisation via Imprecise Learning
Domain Generalisation via Imprecise Learning
Anurag Singh
Siu Lun Chau
S. Bouabid
Krikamol Muandet
AI4CEOOD
100
10
0
06 Apr 2024
Dual-Personalizing Adapter for Federated Foundation Models
Dual-Personalizing Adapter for Federated Foundation Models
Yiyuan Yang
Guodong Long
Taoshu Shen
Jing Jiang
Michael Blumenstein
128
26
0
28 Mar 2024
Generalising realisability in statistical learning theory under
  epistemic uncertainty
Generalising realisability in statistical learning theory under epistemic uncertainty
Fabio Cuzzolin
CML
83
0
0
22 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through
  the Lens of Calibration
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration
Kotaro Yoshida
Hiroki Naganuma
155
2
0
31 Jan 2024
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing
  Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
78
22
0
12 Oct 2023
Group-Conditional Conformal Prediction via Quantile Regression
  Calibration for Crop and Weed Classification
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification
P. Melki
Lionel Bombrun
Boubacar Diallo
Jérôme Dias
Jean-Pierre da Costa
184
7
0
29 Aug 2023
A Causal Framework to Unify Common Domain Generalization Approaches
A Causal Framework to Unify Common Domain Generalization Approaches
N. Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
Zechao Li
Luning Wang
Yongxiang Huang
FedMLOODAI4CE
83
3
0
13 Jul 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in
  RL
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
Miguel Suau
M. Spaan
F. Oliehoek
CML
90
6
0
04 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
99
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
73
2
0
13 May 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Yao Xiao
Ziyi Tang
Pengxu Wei
Cong Liu
Liang Lin
131
19
0
06 Mar 2023
In Search of Deep Learning Architectures for Load Forecasting: A
  Comparative Analysis and the Impact of the Covid-19 Pandemic on Model
  Performance
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance
Sotiris Pelekis
Evangelos Karakolis
Francisco Silva
Vasileios Schoinas
S. Mouzakitis
Georgios Kormpakis
N. Amaro
J. Psarras
AI4TS
62
15
0
25 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
75
5
0
11 Feb 2023
Subset verification and search algorithms for causal DAGs
Subset verification and search algorithms for causal DAGs
Davin Choo
Kirankumar Shiragur
CML
54
11
0
09 Jan 2023
Contrastive Retrospection: honing in on critical steps for rapid
  learning and generalization in RL
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
Chen Sun
Wannan Yang
Thomas Jiralerspong
Dane Malenfant
Benjamin Alsbury-Nealy
Yoshua Bengio
Blake A. Richards
OffRL
49
2
0
12 Oct 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
OODOODDBDL
100
25
0
22 Aug 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
96
56
0
19 Jul 2022
Regularization Penalty Optimization for Addressing Data Quality Variance
  in OoD Algorithms
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Runpeng Yu
Hong Zhu
Kaican Li
Lanqing Hong
Rui Zhang
Nan Ye
Shao-Lun Huang
Xiuqiang He
65
6
0
12 Jun 2022
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
261
6
0
05 Jun 2022
Out-of-distribution generalization for learning quantum dynamics
Out-of-distribution generalization for learning quantum dynamics
Matthias C. Caro
Hsin-Yuan Huang
Nic Ezzell
Joe Gibbs
A. Sornborger
L. Cincio
Patrick J. Coles
Zoë Holmes
OODDOOD
106
88
0
21 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance
Dimensionless machine learning: Imposing exact units equivariance
Soledad Villar
Weichi Yao
D. Hogg
Ben Blum-Smith
Bianca Dumitrascu
62
28
0
02 Apr 2022
Towards understanding deep learning with the natural clustering prior
Towards understanding deep learning with the natural clustering prior
Simon Carbonnelle
52
0
0
15 Mar 2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use
  Tariffs
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs
Jyoti Narwariya
Chetan Verma
Pankaj Malhotra
Lovekesh Vig
E. Subramanian
Sanjay Bhat
AI4TS
71
3
0
11 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep
  RL in Large Networked Systems
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau
Jinke He
M. Spaan
F. Oliehoek
58
4
0
03 Feb 2022
Gradient Masked Averaging for Federated Learning
Gradient Masked Averaging for Federated Learning
Irene Tenison
Sai Aravind Sreeramadas
Vaikkunth Mugunthan
Edouard Oyallon
Irina Rish
Eugene Belilovsky
FedML
121
25
0
28 Jan 2022
Prospective Learning: Principled Extrapolation to the Future
Prospective Learning: Principled Extrapolation to the Future
Ashwin De Silva
Rahul Ramesh
Pallavi V. Kulkarni
M. Shuler
Noah J. Cowan
...
Andrei A. Rusu
Timothy D. Verstynen
Konrad Paul Kording
Pratik Chaudhari
Joshua T. Vogelstein
AI4TS
94
4
0
19 Jan 2022
Provable Adversarial Robustness in the Quantum Model
Provable Adversarial Robustness in the Quantum Model
Khashayar Barooti
Grzegorz Gluch
R. Urbanke
AAMLOOD
42
1
0
17 Dec 2021
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied
  to Targeting the Undruggable Genome and COVID-19 Anti-Infective
  Polypharmacology
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology
Tian Cai
Li Xie
Muge Chen
Yang Liu
Di He
Shuo-feng Zhang
C. Mura
P. Bourne
Lei Xie
OOD
69
4
0
23 Nov 2021
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image
  Classifiers
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato
Simon Guiroy
Ethan Caballero
Irina Rish
Sarath Chandar
VLM
91
12
0
13 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
99
21
0
29 Sep 2021
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
134
18
0
24 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several
  distribution shifts
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
96
3
0
30 Aug 2021
A topological solution to object segmentation and tracking
A topological solution to object segmentation and tracking
Thomas R. Tsao
Doris Y. Tsao
VOS
43
17
0
05 Jul 2021
Dangers of Bayesian Model Averaging under Covariate Shift
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov
Patrick K. Nicholson
Sanae Lotfi
A. Wilson
OODUQCVBDL
151
46
0
22 Jun 2021
Contrastive Learning of Generalized Game Representations
Contrastive Learning of Generalized Game Representations
C. Trivedi
Antonios Liapis
Georgios N. Yannakakis
OCLSSL
71
13
0
18 Jun 2021
On Invariance Penalties for Risk Minimization
On Invariance Penalties for Risk Minimization
Kia Khezeli
Arno Blaas
Frank Soboczenski
N. Chia
John Kalantari
58
16
0
17 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CMLOOD
109
113
0
07 Jun 2021
Out-of-Distribution Generalization in Kernel Regression
Out-of-Distribution Generalization in Kernel Regression
Abdulkadir Canatar
Blake Bordelon
Cengiz Pehlevan
OODDOOD
57
13
0
04 Jun 2021
Goal Misgeneralization in Deep Reinforcement Learning
Goal Misgeneralization in Deep Reinforcement Learning
L. Langosco
Jack Koch
Lee D. Sharkey
J. Pfau
Laurent Orseau
David M. Krueger
88
84
0
28 May 2021
Attention, please! A survey of Neural Attention Models in Deep Learning
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia
Esther Luna Colombini
HAI
128
198
0
31 Mar 2021
Nonlinear Invariant Risk Minimization: A Causal Approach
Nonlinear Invariant Risk Minimization: A Causal Approach
Chaochao Lu
Yuhuai Wu
Jośe Miguel Hernández-Lobato
Bernhard Schölkopf
CMLOOD
132
52
0
24 Feb 2021
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