Imbalanced Deep Learning by Minority Class Incremental Rectification

28 April 2018

Papers citing "Imbalanced Deep Learning by Minority Class Incremental Rectification"

28 / 28 papers shown

Title
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 30 4 0 19 Dec 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 18 13 0 28 Sep 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification Xiaohe Li Lijie Wen Yawen Deng Fuli Feng Xuming Hu Lei Wang Zide Fan 24 21 0 05 Feb 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 14 67 0 04 Jan 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 13 25 0 16 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
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification Chongsheng Zhang Paolo Soda Jingjun Bi Gaojuan Fan G. Almpanidis S. García 28 39 0 01 Sep 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation Ruifei He Jihan Yang Xiaojuan Qi 13 115 0 23 Jul 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
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 24 258 0 05 May 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
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 27 259 0 18 Feb 2021
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya-Qin Zhang Xiaoyun Zhang Yuehua Li 12 10 0 13 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 19 101 0 08 Sep 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 14 159 0 17 Jul 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 13 220 0 01 Apr 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
Hard-Aware Fashion Attribute Classification Yun Ye Yixin Li Bo Wu Wei Zhang Lingyu Duan Tao Mei AI4TS 22 5 0 25 Jul 2019
Unsupervised Deep Learning by Neighbourhood Discovery Jiabo Huang Qi Dong S. Gong Xiatian Zhu SSL 16 152 0 25 Apr 2019
Generative Adversarial Minority Oversampling S. S. Mullick Shounak Datta Swagatam Das 19 174 0 22 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 12 717 0 28 Jan 2019
Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang Weihao Gan Jie Yang Wei Yu Wu Junjie Yan 25 216 0 21 Jan 2019
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 13 12 0 21 Nov 2018
Single-Label Multi-Class Image Classification by Deep Logistic Regression Qi Dong Xiatian Zhu S. Gong 8 33 0 20 Nov 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 22 21 0 09 Oct 2018