Understanding the role of importance weighting for deep learning

Understanding the role of importance weighting for deep learning

28 March 2021

Chuanwei Ruan

Papers citing "Understanding the role of importance weighting for deep learning"

10 / 10 papers shown

Title
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 19 1 0 07 Jun 2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? Davit Gogolashvili Matteo Zecchin Motonobu Kanagawa Marios Kountouris Maurizio Filippone 25 6 0 07 Mar 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions Fabio Massimo Zennaro Máté Drávucz G. Apachitei W. D. Widanage Theodoros Damoulas 22 12 0 14 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 20 2 0 12 Jan 2023
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Gal Mishne OOD 19 4 0 20 Oct 2022
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts Davit Gogolashvili OOD 8 1 0 18 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 48 34 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 37 7 0 19 Sep 2022
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 31 156 0 11 Oct 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 17 16 0 28 Jul 2021