Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients

28 September 2020

Yuhua Zhu

Papers citing "Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients"

29 / 29 papers shown

Title
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi Hatice Gunes Ali Etemad 28 0 0 21 Apr 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 41 0 0 17 Mar 2025
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 40 0 0 05 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 39 1 0 04 Nov 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 44 3 0 30 Sep 2024
Möbius inversion and the bootstrap Florian Schäfer 22 0 0 11 Aug 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You Arben Cela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 56 0 0 19 Jun 2024
Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching Jiaee Cheong Micol Spitale Hatice Gunes 33 3 0 15 May 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 38 3 0 05 Mar 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 26 2 0 09 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 23 2 0 08 Jan 2024
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360 Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong 14 4 0 19 Dec 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 38 1 0 25 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 38 17 0 13 Oct 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 28 2 0 29 Jun 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 41 25 0 02 Mar 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training Junyi Chai Reid Pryzant Victor Ye Dong Konstantin Golobokov Chenguang Zhu Yi Liu 37 5 0 06 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization Eesha Kumar Yiming Zhang S. Pini Simon Stent Ana Ferreira Sergey Zagoruyko C. Perone OffRL 20 1 0 05 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 61 34 0 30 Sep 2022
A Theoretical Analysis of the Learning Dynamics under Class Imbalance Emanuele Francazi Marco Baity-Jesi Aurelien Lucchi 17 16 0 01 Jul 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 45 20 0 31 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 24 90 0 20 Oct 2021
Variational Actor-Critic Algorithms Yuhua Zhu Lexing Ying OffRL 15 0 0 03 Aug 2021
Combining resampling and reweighting for faithful stochastic optimization Jing An Lexing Ying 14 1 0 31 May 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 26 35 0 07 Jan 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 541 0 08 Mar 2020