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Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning

6 January 2020

Han-Jia Ye

Hong-You Chen

De-Chuan Zhan

Wei-Lun Chao

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Papers citing "Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning"

35 / 35 papers shown

Title
Compositional Attribute Imbalance in Vision Datasets Jiayi Chen Yanbiao Ma Andi Zhang Weidong Tang Wei-Ming Dai Bowei Liu CoGe 35 0 0 17 Jun 2025
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 471 0 0 15 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 122 0 0 26 Sep 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 85 14 0 07 Mar 2024
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss Jaidev Gill V. Vakilian Christos Thrampoulidis 56 3 0 02 Oct 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao Fan Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 102 6 0 22 Mar 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions Kuo-Wei Lai Vidya Muthukumar 63 5 0 13 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification Ismail B. Mustapha S. Hasan Hatem S Y Nabbus M. Montaser S. Olatunji Siti Maryam Shamsuddin OOD 36 2 0 04 Mar 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 75 30 0 28 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 55 1 0 03 Dec 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh Chawla 79 42 0 17 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 66 4 0 06 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 85 7 0 19 Sep 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery Lanqing Li Li Zeng Zi-Chao Gao Shen Yuan Yatao Bian ... Wei Liu Hongteng Xu Jia Li P. Zhao Pheng-Ann Heng VLM 33 4 0 16 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 87 17 0 22 Aug 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis Ganesh Ramachandra Kini V. Vakilian Tina Behnia 69 72 0 10 Aug 2022
Efficient Augmentation for Imbalanced Deep Learning Damien Dablain C. Bellinger Bartosz Krawczyk Nitesh Chawla 57 7 0 13 Jul 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022 Cheng Zou Furong Xu Meng Wang Wenqi Li Yuan Cheng 47 6 0 04 Jul 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 79 24 0 10 Jun 2022
Long-tailed Recognition by Learning from Latent Categories Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 138 5 0 02 Jun 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition Jun Li Zichang Tan Jun Wan Zhen Lei Guodong Guo 90 89 0 29 Mar 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 90 28 0 28 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 66 68 0 04 Jan 2022
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 115 589 0 09 Oct 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation Tai-Yu Pan Cheng Zhang Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao 152 47 0 05 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 101 21 0 02 Jul 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 73 77 0 06 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 65 31 0 05 Apr 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 129 96 0 02 Mar 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 138 42 0 17 Feb 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 204 573 0 21 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 132 714 0 14 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 164 267 0 18 Jun 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 86 17 0 21 Apr 2020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 104 59 0 07 Jun 2019