IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced
Learning Tasks

IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks

25 April 2024

Bowen Dong

Wangmeng Zuo

Papers citing "IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks"

7 / 7 papers shown

Title
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 47 13 0 24 Jun 2024
LPT: Long-tailed Prompt Tuning for Image Classification Bowen Dong Pan Zhou Shuicheng Yan W. Zuo VPVLM VLM 41 52 0 03 Oct 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 186 128 0 19 May 2022
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 79 129 0 06 Oct 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 422 0 17 Feb 2021
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 237 455 0 11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019