ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.12293
  4. Cited By
Understanding Why Generalized Reweighting Does Not Improve Over ERM
v1v2v3v4 (latest)

Understanding Why Generalized Reweighting Does Not Improve Over ERM

International Conference on Learning Representations (ICLR), 2022
28 January 2022
Runtian Zhai
Chen Dan
Zico Kolter
Pradeep Ravikumar
    OOD
ArXiv (abs)PDFHTMLGithub

Papers citing "Understanding Why Generalized Reweighting Does Not Improve Over ERM"

25 / 25 papers shown
What Is Preference Optimization Doing, How and Why?
What Is Preference Optimization Doing, How and Why?
Yue Wang
Qizhou Wang
Zizhuo Zhang
Ang Li
Gang Niu
Bo Han
Masashi Sugiyama
118
2
0
30 Nov 2025
A Unified Understanding of Offline Data Selection and Online Self-refining Generation for Post-training LLMs
A Unified Understanding of Offline Data Selection and Online Self-refining Generation for Post-training LLMs
Quan-Wu Xiao
Tianyi Chen
OffRL
280
0
0
26 Nov 2025
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
Beomhan Baek
Minhak Song
Chulhee Yun
245
1
0
30 Oct 2025
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Yiming Zhang
Chester Holtz
Gal Mishne
A. Cloninger
NoLa
242
0
0
14 Oct 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
Reweighting Improves Conditional Risk Bounds
Reweighting Improves Conditional Risk Bounds
Yikai Zhang
Jiahe Lin
Fengpei Li
Songzhu Zheng
Anant Raj
Anderson Schneider
Yuriy Nevmyvaka
219
1
0
04 Jan 2025
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
Upsample or Upweight? Balanced Training on Heavily Imbalanced DatasetsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Tianjian Li
Haoran Xu
Weiting Tan
Kenton Murray
Daniel Khashabi
651
4
0
06 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary AdjustmentInternational Conference on Learning Representations (ICLR), 2024
Naoya Hasegawa
Issei Sato
457
1
0
26 Sep 2024
Unsupervised Domain Adaptation Via Data Pruning
Unsupervised Domain Adaptation Via Data Pruning
Andrea Napoli
Paul White
168
2
0
18 Sep 2024
Ultra-imbalanced classification guided by statistical information
Ultra-imbalanced classification guided by statistical information
Yin Jin
Ningtao Wang
Ruofan Wu
Pengfei Shi
Xing Fu
Weiqiang Wang
219
0
0
06 Sep 2024
Edge Classification on Graphs: New Directions in Topological Imbalance
Edge Classification on Graphs: New Directions in Topological Imbalance
Xueqi Cheng
Yu Wang
Yunchao Liu
Yuying Zhao
Charu C. Aggarwal
Hanyu Wang
244
7
0
17 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
Towards a Better Evaluation of Out-of-Domain Generalization
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
497
0
0
30 May 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
454
12
0
05 Mar 2024
Cross-modality debiasing: using language to mitigate sub-population
  shifts in imaging
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
Yijiang Pang
Hoang Bao
Jiayu Zhou
370
1
0
02 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
422
6
0
07 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes
Multitask Learning Can Improve Worst-Group Outcomes
Atharva Kulkarni
Lucio Dery
Amrith Rajagopal Setlur
Aditi Raghunathan
Ameet Talwalkar
Graham Neubig
325
2
0
05 Dec 2023
Stubborn Lexical Bias in Data and Models
Stubborn Lexical Bias in Data and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sofia Serrano
Jesse Dodge
Noah A. Smith
307
2
0
03 Jun 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
270
4
0
09 Apr 2023
When is Importance Weighting Correction Needed for Covariate Shift
  Adaptation?
When is Importance Weighting Correction Needed for Covariate Shift Adaptation?
Davit Gogolashvili
Matteo Zecchin
Motonobu Kanagawa
Marios Kountouris
Maurizio Filippone
249
12
0
07 Mar 2023
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Yoav Wald
G. Yona
Uri Shalit
Y. Carmon
443
9
0
28 Nov 2022
On the Alignment of Group Fairness with Attribute Privacy
On the Alignment of Group Fairness with Attribute PrivacyWISE (WISE), 2022
Jan Aalmoes
Vasisht Duddu
A. Boutet
409
6
0
18 Nov 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via
  Uncertainty-Aware Mixup
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupNeural Information Processing Systems (NeurIPS), 2022
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
324
47
0
19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
355
7
0
19 Sep 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution GeneralizationInternational Conference on Learning Representations (ICLR), 2022
Yongqiang Chen
Kaiwen Zhou
Yatao Bian
Binghui Xie
Bing Wu
...
Kaili Ma
Han Yang
P. Zhao
Bo Han
James Cheng
OODOODD
263
49
0
15 Jun 2022
1
Page 1 of 1