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2003.07554
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A Unified View of Label Shift Estimation
Neural Information Processing Systems (NeurIPS), 2020
17 March 2020
Saurabh Garg
Yifan Wu
Sivaraman Balakrishnan
Zachary Chase Lipton
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Papers citing
"A Unified View of Label Shift Estimation"
50 / 103 papers shown
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Alyssa H. Smith
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296
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When Shift Happens - Confounding Is to Blame
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356
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Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
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When to retrain a machine learning model
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On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
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Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
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Thomas Decker
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Florian Buettner
315
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Domain Adaptation Under MNAR Missingness
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Hyungrok Do
Saul Blecker
Rumi Chunara
Samrachana Adhikari
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313
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Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
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461
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A generalized approach to label shift: the Conditional Probability Shift Model
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310
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IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
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439
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Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models
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Hannah Rosa Friesacher
Emma Svensson
S. Winiwarter
Lewis H. Mervin
Adam Arany
Ola Engkvist
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239
3
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06 Feb 2025
Early Stopping in Contextual Bandits and Inferences
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216
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05 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
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Zhiyuan Wu
Changkyu Choi
Xiangcheng Cao
Volkan Cevher
Ali Ramezani-Kebrya
446
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CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
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A. Nguyen
Lam C. Tran
Anh Tong
Tuan-Duy H. Nguyen
Toan M. Tran
332
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Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts
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Salimeh Yasaei Sekeh
258
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14 Nov 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
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Xiao Ouyang
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Yuhua Qian
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345
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04 Nov 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
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Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
273
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Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
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Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
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Bernhard Kainz
325
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26 Sep 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration
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Minh Le Nguyen
Alan Q. Wang
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Mert R. Sabuncu
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308
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09 Sep 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
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Thomas Decker
Alexander Koebler
Michael Lebacher
Ingo Thon
Volker Tresp
Florian Buettner
297
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Multimodal Label Relevance Ranking via Reinforcement Learning
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Taolin Zhang
Haoqian Wu
Hanjun Li
Ruizhi Qiao
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223
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Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
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T. T. Cai
Abhinav Chakraborty
346
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When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
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Chuan-Xian Ren
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239
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Weijian Deng
Liang Zheng
Tom Gedeon
364
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An adaptive transfer learning perspective on classification in non-stationary environments
Henry W J Reeve
274
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FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
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Xiaoming Zhang
Litian Zhang
Jiacheng Liu
Xi Zhang
Chaozhuo Li
292
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Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
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Ruihan Wu
Siddhartha Datta
Yi Su
Dheeraj Baby
Yu Wang
Kilian Q. Weinberger
220
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05 Feb 2024
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
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Xin Zhang
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Qinglong Tian
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229
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Kernel Density Estimation for Multiclass Quantification
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Alejandro Moreo
Pablo González
Juan José del Coz
214
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Multi-source domain adaptation for regression
Yujie Wu
Giovanni Parmigiani
Boyu Ren
341
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Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
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Amrith Rajagopal Setlur
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Virginia Smith
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Joshua Rubin
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249
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Adaptive Training Distributions with Scalable Online Bilevel Optimization
David Grangier
Pierre Ablin
Awni Y. Hannun
249
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PAC Prediction Sets Under Label Shift
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Sangdon Park
Insup Lee
Guang Cheng
Osbert Bastani
376
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Subspace Identification for Multi-Source Domain Adaptation
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Zijian Li
Ruichu Cai
Guan-Hong Chen
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Zijian Li
Kun Zhang
308
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Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
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Wooseok Ha
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415
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Prediction under Latent Subgroup Shifts with High-Dimensional Observations
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Arthur Gretton
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247
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Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
International Conference on Machine Learning (ICML), 2023
Vincent Plassier
Mehdi Makni
Aleksandr Rubashevskii
Eric Moulines
Maxim Panov
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357
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Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
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Gilles Blanchard
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235
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Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
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Tzu-Ching Yen
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Zachary Chase Lipton
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313
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ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
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Xin Zhang
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280
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