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Learning explanations that are hard to vary
v1v2v3 (latest)

Learning explanations that are hard to vary

International Conference on Learning Representations (ICLR), 2020
1 September 2020
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Learning explanations that are hard to vary"

50 / 120 papers shown
Improving Unlearning with Model Updates Probably Aligned with Gradients
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine
Teddy Furon
Charly Faure
MU
270
0
0
04 Nov 2025
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
Kangjia Yan
Chenxi Liu
Hao Miao
Xinle Wu
Yan Zhao
Chenjuan Guo
Bin Yang
AI4TS
216
0
0
07 Oct 2025
Onto-Epistemological Analysis of AI Explanations
Onto-Epistemological Analysis of AI Explanations
Martina Mattioli
Eike Petersen
Aasa Feragen
Marcello Pelillo
Siavash Bigdeli
285
0
0
03 Oct 2025
Reinforcement Learning Driven Generalizable Feature Representation for Cross-User Activity Recognition
Reinforcement Learning Driven Generalizable Feature Representation for Cross-User Activity Recognition
Xiaozhou Ye
Kevin I-Kai Wang
127
0
0
31 Aug 2025
Not Only Consistency: Enhance Test-Time Adaptation with Spatio-temporal Inconsistency for Remote Physiological Measurement
Not Only Consistency: Enhance Test-Time Adaptation with Spatio-temporal Inconsistency for Remote Physiological Measurement
Xiao Yang
Jiyao Wang
Yuxuan Fan
Can Liu
Houcheng Su
Weichen Guo
Zitong Yu
Dengbo He
Kaishun Wu
TTA
352
2
0
10 Jul 2025
Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization
Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization
Jiyao Wang
Xiao Yang
Hao Lu
Dengbo He
Kaishun Wu
291
4
0
19 Jun 2025
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
Moment Alignment: Unifying Gradient and Hessian Matching for Domain GeneralizationConference on Uncertainty in Artificial Intelligence (UAI), 2025
Yuen Chen
Haozhe Si
Guojun Zhang
Han Zhao
OOD
368
2
0
09 Jun 2025
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
Xiaozhou Ye
Kevin I-Kai Wang
235
0
0
08 May 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
543
0
0
09 Apr 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
434
16
0
30 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2025
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
339
7
0
23 Mar 2025
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
Haoze Li
Jun Xie
CML
307
1
0
05 Mar 2025
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
Junyao Wang
Mohammad Abdullah Al Faruque
HAI
200
4
0
31 Dec 2024
Generalizable Sensor-Based Activity Recognition via Categorical Concept
  Invariant Learning
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Di Xiong
Shuoyuan Wang
Lei Zhang
Wenbo Huang
Chaolei Han
413
10
0
18 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 LandscapesComputer Vision and Pattern Recognition (CVPR), 2024
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
1.3K
8
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Zhaoyu Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
1.1K
1
0
16 Dec 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution
  Generalization
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution GeneralizationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2024
Jawad Chowdhury
G. Terejanu
AI4CEBDLOODOODD
428
1
0
09 Nov 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series
  OOD Generalization
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD GeneralizationNeural Information Processing Systems (NeurIPS), 2024
Chengtao Jian
Kai Yang
Yang Jiao
AI4TS
451
15
0
09 Oct 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology
Benchmarking Domain Generalization Algorithms in Computational Pathology
Neda Zamanitajeddin
Mostafa Jahanifar
Kesi Xu
Fouzia Siraj
Nasir M. Rajpoot
OOD
533
8
0
25 Sep 2024
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic
  Protein Design
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
Natavsa Tagasovska
Ji Won Park
Matthieu Kirchmeyer
Nathan C. Frey
Andrew Watkins
...
Arian R. Jamasb
Edith Lee
Tyler Bryson
Stephen Ra
Kyunghyun Cho
OOD
381
8
0
15 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
416
1
0
01 Jul 2024
Accuracy on the wrong line: On the pitfalls of noisy data for
  out-of-distribution generalisation
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
Amartya Sanyal
Yaxi Hu
Yaodong Yu
Yian Ma
Yixin Wang
Bernhard Schölkopf
OODD
258
7
0
27 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
380
1
0
17 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic AnalysisIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
262
2
0
14 Jun 2024
Domain Generalization for Zero-calibration BCIs with Knowledge
  Distillation-based Phase Invariant Feature Extraction
Domain Generalization for Zero-calibration BCIs with Knowledge Distillation-based Phase Invariant Feature Extraction
Zilin Liang
Zheng Zheng
Weihai Chen
Xinzhi Ma
Zhongcai Pei
Xiantao Sun
OOD
195
1
0
18 May 2024
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote
  Physiological Measurement
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological MeasurementIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Jiyao Wang
Hao Lu
Ange Wang
Xiao Yang
Ying-Cong Chen
Dengbo He
Kaishun Wu
283
17
0
10 May 2024
Resolve Domain Conflicts for Generalizable Remote Physiological
  Measurement
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement
Weiyu Sun
Xinyu Zhang
Hao Lu
Ying-Cong Chen
Yun Ge
Xiao-Lin Huang
Jie Yuan
Yingcong Chen
367
16
0
11 Apr 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
Unknown Domain Inconsistency Minimization for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2024
Seungjae Shin
Heesun Bae
Byeonghu Na
Yoon-Yeong Kim
Il-Chul Moon
324
10
0
12 Mar 2024
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior KnowledgeIEEE Transactions on Image Processing (TIP), 2024
Yuting Zhang
Haobo Lu
Xin Liu
Ying-Cong Chen
Kaishun Wu
271
22
0
11 Mar 2024
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Payal Mohapatra
Lixu Wang
Qi Zhu
AI4TS
329
3
0
05 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective
Understanding Domain Generalization: A Noise Robustness PerspectiveInternational Conference on Learning Representations (ICLR), 2024
Rui Qiao
K. H. Low
OOD
363
8
0
26 Jan 2024
Enhancing Evolving Domain Generalization through Dynamic Latent
  Representations
Enhancing Evolving Domain Generalization through Dynamic Latent RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Binghui Xie
Yongqiang Chen
Jiaqi Wang
Kaiwen Zhou
Bo Han
Wei Meng
James Cheng
316
9
0
16 Jan 2024
Cross Domain Generative Augmentation: Domain Generalization with Latent
  Diffusion Models
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models
S. Hemati
Mahdi Beitollahi
A. Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
193
11
0
08 Dec 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
MADG: Margin-based Adversarial Learning for Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Aveen Dayal
B. VimalK.
Linga Reddy Cenkeramaddi
C. K. Mohan
Abhinav Kumar
Vineeth N. Balasubramanian
OODAAML
338
81
0
14 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain
  Generalization Algorithms
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
281
2
0
02 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and GuidelinesACM Computing Surveys (ACM Comput. Surv.), 2023
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
414
46
0
30 Oct 2023
Implicit meta-learning may lead language models to trust more reliable
  sources
Implicit meta-learning may lead language models to trust more reliable sourcesInternational Conference on Machine Learning (ICML), 2023
Dmitrii Krasheninnikov
Egor Krasheninnikov
Bruno Mlodozeniec
Tegan Maharaj
David M. Krueger
584
8
0
23 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
383
2
0
10 Oct 2023
Era Splitting -- Invariant Learning for Decision Trees
Era Splitting -- Invariant Learning for Decision Trees
Timothy DeLise
CMLOOD
259
0
0
25 Sep 2023
Context is Environment
Context is EnvironmentInternational Conference on Learning Representations (ICLR), 2023
Sharut Gupta
Stefanie Jegelka
David Lopez-Paz
Kartik Ahuja
288
0
0
18 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Jiao Zhang
Xu-Yao Zhang
Cheng-Lin Liu
OOD
235
0
0
12 Sep 2023
Domain Generalization without Excess Empirical Risk
Domain Generalization without Excess Empirical RiskNeural Information Processing Systems (NeurIPS), 2023
Ozan Sener
V. Koltun
285
10
0
30 Aug 2023
Understanding Hessian Alignment for Domain Generalization
Understanding Hessian Alignment for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
186
21
0
22 Aug 2023
DOMINO: Domain-invariant Hyperdimensional Classification for
  Multi-Sensor Time Series Data
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Junyao Wang
Luke Chen
Mohammad Abdullah Al Faruque
221
9
0
07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODDAI4TS
377
34
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04 Aug 2023
Improving Generalization in Visual Reinforcement Learning via
  Conflict-aware Gradient Agreement Augmentation
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement AugmentationIEEE International Conference on Computer Vision (ICCV), 2023
Siao Liu
Zhaoyu Chen
Yang Liu
Yuzheng Wang
Dingkang Yang
...
Ziqing Zhou
Xie Yi
Wei Li
Wenqiang Zhang
Zhongxue Gan
333
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Cross Contrasting Feature Perturbation for Domain Generalization
Cross Contrasting Feature Perturbation for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Chenming Li
Daoan Zhang
Wen-Fong Huang
Jiang Zhang
OOD
314
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Out-of-Distribution Optimality of Invariant Risk Minimization
Out-of-Distribution Optimality of Invariant Risk Minimization
S. Toyota
Kenji Fukumizu
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310
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A Causal Framework to Unify Common Domain Generalization Approaches
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Ningyu Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
Hao Sun
Luning Wang
Yongxiang Huang
FedMLOODAI4CE
292
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13 Jul 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
220
29
0
14 Jun 2023
123
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