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Rethinking Importance Weighting for Deep Learning under Distribution
  Shift
v1v2 (latest)

Rethinking Importance Weighting for Deep Learning under Distribution Shift

8 June 2020
Tongtong Fang
Nan Lu
Gang Niu
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Rethinking Importance Weighting for Deep Learning under Distribution Shift"

50 / 93 papers shown
When Data Falls Short: Grokking Below the Critical Threshold
When Data Falls Short: Grokking Below the Critical Threshold
Vaibhav Singh
Eugene Belilovsky
Rahaf Aljundi
138
0
0
06 Nov 2025
Direct Debiased Machine Learning via Bregman Divergence Minimization
Direct Debiased Machine Learning via Bregman Divergence Minimization
Masahiro Kato
CML
425
6
0
27 Oct 2025
Technical note on Fisher Information for Robust Federated Cross-Validation
Technical note on Fisher Information for Robust Federated Cross-Validation
Behraj Khan
T. Syed
FedML
201
0
0
04 Oct 2025
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
Vincent Jeanselme
G. Martin
M. Sperrin
Niels Peek
Brian D. M. Tom
Jessica Barrett
165
1
0
07 Aug 2025
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
Xiang Li
Qianli Shen
Haonan Wang
Kenji Kawaguchi
MU
238
2
0
30 Jul 2025
Adapting to Fragmented and Evolving Data: A Fisher Information Perspective
Adapting to Fragmented and Evolving Data: A Fisher Information Perspective
Behraj Khan
T. Syed
Nouman Durrani
218
0
0
25 Jul 2025
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Yan Li
Guangyi Chen
Yunlong Deng
Zijian Li
Zeyu Tang
Anpeng Wu
Kun Zhang
CML
205
0
0
22 Jul 2025
Projection Pursuit Density Ratio Estimation
Projection Pursuit Density Ratio Estimation
Meilin Wang
Wei Huang
Mingming Gong
Zheng Zhang
276
4
0
01 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
371
2
0
28 May 2025
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Andrea Della Vecchia
Arnaud Mavakala Watusadisi
Ernesto De Vito
Lorenzo Rosasco
257
2
0
20 May 2025
When to retrain a machine learning model
When to retrain a machine learning model
Regol Florence
Schwinn Leo
Sprague Kyle
Coates Mark
Markovich Thomas
OffRL
319
5
0
20 May 2025
FRET: Feature Redundancy Elimination for Test Time Adaptation
FRET: Feature Redundancy Elimination for Test Time Adaptation
Linjing You
Jiabao Lu
Xiayuan Huang
Xiangli Nie
383
1
0
15 May 2025
Test-time Correlation Alignment
Test-time Correlation Alignment
Linjing You
Jiabao Lu
Xiayuan Huang
OOD
576
3
0
01 May 2025
Spectral Algorithms under Covariate Shift
Spectral Algorithms under Covariate Shift
Jun Fan
Zheng-Chu Guo
Lei Shi
214
3
0
17 Apr 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
DGFamba: Learning Flow Factorized State Space for Visual Domain GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2025
Qi Bi
Jingjun Yi
Hao Zheng
Haolan Zhan
Wei Ji
Yawen Huang
Yuexiang Li
OOD
390
2
0
10 Apr 2025
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Yuta Yahagi
Kiichi Obuchi
Fumihiko Kosaka
Kota Matsui
331
2
0
20 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Group-robust Sample Reweighting for Subpopulation Shifts via Influence FunctionsInternational Conference on Learning Representations (ICLR), 2025
Rui Qiao
Zhaoxuan Wu
Jingtan Wang
Pang Wei Koh
Bryan Kian Hsiang Low
OOD
489
5
0
10 Mar 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
480
0
0
18 Feb 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model PretrainingInternational Conference on Learning Representations (ICLR), 2025
Daouda Sow
Herbert Woisetschläger
Saikiran Bulusu
Shiqiang Wang
Hans-Arno Jacobsen
Yingbin Liang
422
15
0
10 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
Addressing Label Shift in Distributed Learning via Entropy RegularizationInternational Conference on Learning Representations (ICLR), 2025
Zhiyuan Wu
Changkyu Choi
Xiangcheng Cao
Volkan Cevher
Ali Ramezani-Kebrya
446
0
0
04 Feb 2025
Mitigating covariate shift in non-colocated data with learned parameter
  priors
Mitigating covariate shift in non-colocated data with learned parameter priors
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
255
0
0
10 Nov 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation
  with Ordinal Noisy Labels
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy LabelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Shumpei Takezaki
Kiyohito Tanaka
S. Uchida
NoLa
301
0
0
29 Oct 2024
Medical Image Quality Assessment based on Probability of Necessity and
  Sufficiency
Medical Image Quality Assessment based on Probability of Necessity and SufficiencyIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Boyu Chen
A. L. Solebo
Weiye Bao
Paul Taylor
229
3
0
10 Oct 2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
Ruiyuan Kang
P. Liatsis
Meixia Geng
Qingjie Yang
309
0
0
20 Aug 2024
Importance Weighting Can Help Large Language Models Self-Improve
Importance Weighting Can Help Large Language Models Self-ImproveAAAI Conference on Artificial Intelligence (AAAI), 2024
Chunyang Jiang
Chi-min Chan
Wei Xue
Qifeng Liu
Yike Guo
287
11
0
19 Aug 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the
  Translational and Clinical Integration of Foundational Models
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
Simha Sankar Baradwaj
Destiny Gilliland
Jack Rincon
Henning Hermjakob
Yu Yan
...
Dean Wang
Karol Watson
Alex Bui
Wei Wang
Peipei Ping
417
19
0
18 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng
Zeren Sun
Tao Chen
Shuchao Pang
Yucheng Wang
Yazhou Yao
270
19
0
03 Jul 2024
Exploring compressibility of transformer based text-to-music (TTM)
  models
Exploring compressibility of transformer based text-to-music (TTM) models
Vasileios Moschopoulos
Thanasis Kotsiopoulos
Pablo Peso Parada
Konstantinos Nikiforidis
Alexandros Stergiadis
Gerasimos Papakostas
Md. Asif Jalal
Jisi Zhang
Anastasios Drosou
Karthikeyan P. Saravanan
208
0
0
24 Jun 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent
  Implicit Regularization
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Yihang Chen
Fanghui Liu
Taiji Suzuki
Volkan Cevher
269
5
0
05 Jun 2024
DGMamba: Domain Generalization via Generalized State Space Model
DGMamba: Domain Generalization via Generalized State Space Model
Shaocong Long
Qianyu Zhou
Hefei Ling
Xuequan Lu
Chenhao Ying
Yuan Luo
Lizhuang Ma
Shuicheng Yan
383
23
0
11 Apr 2024
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion
  Equations
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations
Tham Yik Foong
Heng Zhang
Mao Po Yuan
Danilo Vasconcellos Vargas
OOD
182
0
0
08 Apr 2024
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for
  High-dimensional Regression
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
Zelin He
Ying Sun
Jingyuan Liu
Runze Li
346
5
0
20 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
309
13
0
15 Mar 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2023
Sina Baharlouei
Shivam Patel
Meisam Razaviyayn
483
4
0
06 Dec 2023
Rescuing referral failures during automated diagnosis of domain-shifted
  medical images
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava
Karm Patel
Pradeep Shenoy
D. Sridharan
OOD
238
0
0
28 Nov 2023
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
377
7
0
25 Oct 2023
Rethinking Domain Generalization: Discriminability and Generalizability
Rethinking Domain Generalization: Discriminability and Generalizability
Shaocong Long
Qianyu Zhou
Chenhao Ying
Lizhuang Ma
Yuan Luo
OODAI4CE
415
31
0
28 Sep 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk
  Minimization Framework
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework
Sina Baharlouei
Meisam Razaviyayn
FaMLOOD
311
1
0
20 Sep 2023
Some notes concerning a generalized KMM-type optimization method for
  density ratio estimation
Some notes concerning a generalized KMM-type optimization method for density ratio estimation
C. Alecsa
167
0
0
14 Sep 2023
Ethical Framework for Harnessing the Power of AI in Healthcare and
  Beyond
Ethical Framework for Harnessing the Power of AI in Healthcare and BeyondIEEE Access (IEEE Access), 2023
Sidra Nasir
Rizwan Ahmed Khan
Samita Bai
282
65
0
31 Aug 2023
Biquality Learning: a Framework to Design Algorithms Dealing with
  Closed-Set Distribution Shifts
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution ShiftsMachine-mediated learning (ML), 2023
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
OOD
188
0
0
29 Aug 2023
biquality-learn: a Python library for Biquality Learning
biquality-learn: a Python library for Biquality Learning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
242
0
0
18 Aug 2023
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge
  Devices
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge DevicesInternational Conference on Neural Information Processing (ICONIP), 2023
Liang Wang
Nan Zhang
Xiaoyang Qu
Jianzong Wang
Ji-guang Wan
Guokuan Li
Kaiyu Hu
Guilin Jiang
Jing Xiao
186
2
0
17 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence
NSA: Naturalistic Support Artifact to Boost Network ConfidenceIEEE International Joint Conference on Neural Network (IJCNN), 2023
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
269
1
0
27 Jul 2023
Distribution Shift Matters for Knowledge Distillation with Webly
  Collected Images
Distribution Shift Matters for Knowledge Distillation with Webly Collected ImagesIEEE International Conference on Computer Vision (ICCV), 2023
Jialiang Tang
Shuo Chen
Gang Niu
Masashi Sugiyama
Chenggui Gong
194
20
0
21 Jul 2023
RegExplainer: Generating Explanations for Graph Neural Networks in
  Regression Task
RegExplainer: Generating Explanations for Graph Neural Networks in Regression TaskNeural Information Processing Systems (NeurIPS), 2023
Jiaxing Zhang
Zhuomin Chen
Hao Mei
Dongsheng Luo
Hua Wei
408
10
0
15 Jul 2023
Federated Learning under Covariate Shifts with Generalization Guarantees
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya
Fanghui Liu
Thomas Pethick
Grigorios G. Chrysos
Volkan Cevher
FedMLOOD
391
12
0
08 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Emilie Grégoire
M. H. Chaudhary
Sam Verboven
230
6
0
07 Jun 2023
Generalizing Importance Weighting to A Universal Solver for Distribution
  Shift Problems
Generalizing Importance Weighting to A Universal Solver for Distribution Shift ProblemsNeural Information Processing Systems (NeurIPS), 2023
Tongtong Fang
Nan Lu
Gang Niu
Masashi Sugiyama
OOD
441
13
0
24 May 2023
Information Geometrically Generalized Covariate Shift Adaptation
Information Geometrically Generalized Covariate Shift AdaptationNeural Computation (Neural Comput.), 2022
Masanari Kimura
H. Hino
OOD
163
8
0
19 Apr 2023
12
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