A systematic study of the class imbalance problem in convolutional neural networks

15 October 2017

Papers citing "A systematic study of the class imbalance problem in convolutional neural networks"

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Title
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing Oishee Bintey Hoque Nibir Chandra Mandal Abhijin Adiga S. Swarup S. Nouwakpo Amanda Wilson M. Marathe 31 0 0 13 May 2025
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control Sajjad Rezvani Boroujeni Hossein Abedi Tom Bush 27 0 0 06 May 2025
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
Material Identification Via RFID For Smart Shopping David Wang Derek Goh Jiale Zhang 17 0 0 24 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 56 1 0 24 Mar 2025
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods J. Benítez-Andrades C. Prada-García Nicolás Ordás-Reyes Marta Esteban Blanco Alicia Merayo Antonio Serrano-García 46 0 0 23 Mar 2025
From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs Rohan Bhatnagar Ling Liang Krish Patel Haizhao Yang 36 0 0 13 Mar 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition Hongda Liu Yunlong Wang Min Ren Junxing Hu Zhengquan Luo Guangqi Hou Zhe Sun 48 0 0 24 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 81 0 0 17 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 49 0 0 05 Feb 2025
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 95 0 0 23 Nov 2024
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 82 0 0 20 Nov 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 35 1 0 06 Oct 2024
Ensemble Methods for Sequence Classification with Hidden Markov Models Maxime Kawawa-Beaudan Srijan Sood Soham Palande Ganapathy Mani T. Balch Manuela Veloso 27 0 0 11 Sep 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 48 2 0 24 Aug 2024
Interpreting artificial neural networks to detect genome-wide association signals for complex traits Burak Yelmen Maris Alver Estonian Biobank Research Team Flora Jay L. Milani Lili Milani 40 0 0 26 Jul 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification S. SreeRamaVamsidhar Bhargava Satya Rama Krishna Sai Subrahmanyam Gorthi 20 1 0 06 Jul 2024
Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model Hossein Ghorbanfekr P. Kerstens K. Dirix 23 0 0 24 Jun 2024
Restoring balance: principled under/oversampling of data for optimal classification Emanuele Loffredo Mauro Pastore Simona Cocco R. Monasson 37 9 0 15 May 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 35 6 0 29 Mar 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 33 4 0 12 Mar 2024
DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs Ghazal Asemian Mohammadreza Amini B. Kantarci Melike Erol-Kantarci 34 2 0 05 Mar 2024
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition Sota Nemoto Shunsuke Kitada Hitoshi Iyatomi 19 1 0 21 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li Bowen Tao Lu Han De-Chuan Zhan Han-jia Ye SSL 29 4 0 27 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 18 3 0 01 Dec 2023
Teaching Robots to Build Simulations of Themselves Yuhang Hu Jiong Lin Hod Lipson SSL 24 4 0 20 Nov 2023
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
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 20 5 0 25 Aug 2023
biquality-learn: a Python library for Biquality Learning Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols 14 0 0 18 Aug 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 16 0 0 14 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller F. Zhu Fengqing M Zhu 59 14 0 01 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
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 5 0 01 May 2023
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 25 2 0 10 Apr 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 21 1 0 06 Mar 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 28 30 0 10 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 36 1 0 07 Feb 2023
Neural Network Architecture for Database Augmentation Using Shared Features IV WilliamC.Sleeman R. Kapoor Preetam Ghosh OOD 24 0 0 02 Feb 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
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset Shaswat Patel Prince Bansal Preeti Kaur 17 2 0 20 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge Jintao Lin Zhaoyang Liu Wenhai Wang Wayne Wu Limin Wang 39 0 0 03 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 19 1 0 03 Dec 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 27 1 0 22 Nov 2022
Long-tailed Food Classification Jiangpeng He Luotao Lin H. Eicher-Miller Fengqing M Zhu 30 22 0 26 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 13 13 0 28 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 39 7 0 19 Sep 2022
Towards Daily High-resolution Inundation Observations using Deep Learning and EO A. Dasgupta Lasse Hybbeneth B. Waske AI4CE 23 2 0 10 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 18 16 0 28 Jul 2022