Rethinking the Value of Labels for Improving Class-Imbalanced Learning

13 June 2020

Papers citing "Rethinking the Value of Labels for Improving Class-Imbalanced Learning"

50 / 57 papers shown

Title
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition Hongda Liu Yunlong Wang Min Ren Junxing Hu Zhengquan Luo Guangqi Hou Zhe Sun 53 0 0 24 Feb 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan Yupei Zhang Qiushi Yang Tan Li Zhen Chen 54 0 0 05 Feb 2025
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 28 0 0 04 Nov 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 46 0 0 09 Sep 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 40 6 0 29 Mar 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 28 1 0 30 Jan 2024
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 23 13 0 30 Oct 2023
Frequency-Aware Self-Supervised Long-Tailed Learning Ci-Siang Lin Min-Hung Chen Y. Wang 20 3 0 09 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 23 5 0 25 Aug 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 31 2 0 05 Jul 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
A Semi-Supervised Framework for Misinformation Detection Yueyang Liu Zois Boukouvalas Nathalie Japkowicz 13 0 0 22 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning Wenxiang Xu Lin Chen Linyun Zhou Jie Lei Lechao Cheng Zunlei Feng Min-Gyoo Song 26 1 0 09 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning Yidong Wang Zhuohao Yu Jindong Wang Qiang Heng Haoxing Chen Wei Ye Rui Xie Xingxu Xie Shi-Bo Zhang VLM 33 30 0 04 Apr 2023
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition Qianhui Men Edmond S. L. Ho Hubert P. H. Shum Howard Leung SSL 20 19 0 03 Apr 2023
A dynamic risk score for early prediction of cardiogenic shock using machine learning Yuxuan Hu Albert Y Lui M. Goldstein Mukund Sudarshan Andrea Tinsay ... G. Fishman J. Hochman S. Katz S. Bernard Rajesh Ranganath 16 2 0 22 Mar 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao F. Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 36 5 0 22 Mar 2023
Gated Self-supervised Learning For Improving Supervised Learning Erland Hilman Fuadi Aristo Renaldo Ruslim Putu Wahyu Kusuma Wardhana N. Yudistira SSL 23 0 0 14 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 31 27 0 28 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 35 32 0 05 Dec 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou W. Wang NoLa 19 2 0 20 Nov 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 17 6 0 07 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 30 17 0 22 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 25 16 0 28 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Z. Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 24 167 0 19 Jul 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang-Dong Yoo 21 18 0 11 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 11 123 0 27 May 2022
ELM: Embedding and Logit Margins for Long-Tail Learning Wittawat Jitkrittum A. Menon A. S. Rawat Surinder Kumar 29 11 0 27 Apr 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 25 140 0 27 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 17 2 0 28 Feb 2022
Assessing the State of Self-Supervised Human Activity Recognition using Wearables H. Haresamudram Irfan Essa Thomas Plötz SSL 36 85 0 22 Feb 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance Yin-Yin He Peizhen Zhang Xiu-Shen Wei X. Zhang Jian-jun Sun ISeg 29 24 0 08 Jan 2022
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes Jiachen Xu Junlin Guo James Zimmer-Dauphinee Quan Liu Yuxuan Shi Zuhayr Asad D. Mitchell Wilkes Parker VanValkenburgh Steven A. Wernke Yuankai Huo SSL 19 2 0 13 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 43 175 0 27 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 32 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 62 52 0 06 Nov 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 18 90 0 20 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong S. Hoi VLM 31 13 0 19 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 33 157 0 11 Oct 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos V. Cevher OOD 30 5 0 17 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 45 101 0 09 Sep 2021
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu CVBM 19 34 0 05 Sep 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 17 50 0 26 Aug 2021
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions S. A. Sheikh Md. Sahidullah F. Hirsch Slim Ouni 26 48 0 08 Jul 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 18 84 0 18 Jun 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham Kushal Kafle Zhe-nan Lin Zhi Ding Scott D. Cohen Q. Tran Abhinav Shrivastava 16 107 0 17 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 34 62 0 10 Jun 2021
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis Siyi Tang Jared A. Dunnmon Khaled Kamal Saab Xuan Zhang Qianying Huang Florian Dubost D. Rubin Christopher Lee-Messer 27 96 0 16 Apr 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 29 46 0 23 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 21 42 0 05 Mar 2021