Learning to Re-weight Examples with Optimal Transport for Imbalanced
Classification

Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification

5 August 2022

Zhuo Li

Mingyuan Zhou

Papers citing "Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification"

10 / 10 papers shown

Title
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 63 1 0 15 Aug 2024
Advancing Prompt Learning through an External Layer Fangming Cui Xun Yang Chao Wu Liang Xiao Xinmei Tian VLM 53 2 0 29 Jul 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 73 3 0 27 Jun 2024
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 60 18 0 20 Feb 2023
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 39 2 0 26 Dec 2022
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 133 0 06 Oct 2021
Reweighting samples under covariate shift using a Wasserstein distance criterion J. Reygner A. Touboul 43 2 0 19 Oct 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 557 0 21 Jul 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 257 786 0 05 Dec 2019
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 165 25,367 0 09 Jun 2011