Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

28 December 2022

Papers citing "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"

25 / 25 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 67 0 0 03 May 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples Hansung Choi Daewon Seo 43 0 0 24 Feb 2025
Prior2Posterior: Model Prior Correction for Long-Tailed Learning S Divakar Bhat Amit More Mudit Soni Surbhi Agrawal 74 0 0 21 Dec 2024
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM Xingyu Lyu Qianqian Xu Zhiyong Yang Shaojie Lyu Qingming Huang 74 0 0 18 Dec 2024
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li Y. Liu Yang Lu Yiqun Zhang Yiu-ming Cheung Hui Huang VLM 33 2 0 28 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 26 1 0 08 Oct 2024
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance Pankhi Kashyap Pavni Tandon Sunny Gupta Abhishek Tiwari Ritwik Kulkarni Kshitij Sharad Jadhav 32 1 0 05 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 35 0 0 04 Oct 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 37 5 0 30 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition Zhiyong Yang Qianqian Xu Zitai Wang Sicong Li Boyu Han Shilong Bao Xiaochun Cao Qingming Huang 28 8 0 13 May 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani Pradipto Mondal Mayank Mishra Ashish Ramayee Asokan R. V. Babu 29 8 0 03 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model Jihun Kim Dahyun Kim Hyungrok Jung Taeil Oh Jonghyun Choi MQ 47 0 0 30 Mar 2024
Biased Binary Attribute Classifiers Ignore the Majority Classes Xinyi Zhang Johanna Sophie Bieri Manuel Günther CVBM 18 1 0 21 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 33 4 0 08 Mar 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 21 0 0 08 Feb 2024
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 28 24 0 07 Oct 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition Yixuan Zhou Yi Qu Xing Xu Hengtao Shen 25 16 0 15 Aug 2023
An SDE for Modeling SAM: Theory and Insights Enea Monzio Compagnoni Luca Biggio Antonio Orvieto F. Proske Hans Kersting Aurélien Lucchi 21 13 0 19 Jan 2023
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 119 98 0 16 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 84 132 0 06 Oct 2021
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 239 457 0 11 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 275 2,888 0 15 Sep 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011