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Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 65 papers shown
Title
Compositional Attribute Imbalance in Vision Datasets
Compositional Attribute Imbalance in Vision Datasets
Jiayi Chen
Yanbiao Ma
Andi Zhang
Weidong Tang
Wei-Ming Dai
Bowei Liu
CoGe
137
1
0
17 Jun 2025
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
Yujia Su
Xinjie Li
Lionel Z. Wang
174
0
0
07 Apr 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority SamplesIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2025
Hansung Choi
Daewon Seo
175
0
0
24 Feb 2025
The Fair Language Model Paradox
The Fair Language Model Paradox
Andrea Pinto
Tomer Galanti
Randall Balestriero
192
2
0
15 Oct 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detectionComputer Vision and Pattern Recognition (CVPR), 2024
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
882
2
0
15 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance
  and Adaptability on Imbalanced Classification
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification
Kelsey Lieberman
Swarna Kamlam Ravindran
Shuai Yuan
Carlo Tomasi
OOD
180
0
0
04 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary AdjustmentInternational Conference on Learning Representations (ICLR), 2024
Naoya Hasegawa
Issei Sato
333
1
0
26 Sep 2024
Ultra-imbalanced classification guided by statistical information
Ultra-imbalanced classification guided by statistical information
Yin Jin
Ningtao Wang
Ruofan Wu
Pengfei Shi
Xing Fu
Weiqiang Wang
155
0
0
06 Sep 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic
  Long-tail Recognition
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionInternational Conference on Machine Learning (ICML), 2024
Zhiyong Yang
Qianqian Xu
Zitai Wang
Sicong Li
Boyu Han
Shilong Bao
Xiaochun Cao
Qingming Huang
183
16
0
13 May 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
195
9
0
24 Apr 2024
A replica analysis of under-bagging
A replica analysis of under-bagging
Takashi Takahashi
298
3
0
15 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance
  from Generalized Few-shot Segmentation
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang
Ruixun Liu
Kaiyu Li
Jiawei Jiang
Xiangyong Cao
164
3
0
08 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on
  Long-Tailed Datasets
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed DatasetsComputer Vision and Pattern Recognition (CVPR), 2024
Harsh Rangwani
Pradipto Mondal
Mayank Mishra
Ashish Ramayee Asokan
R. V. Babu
144
16
0
03 Apr 2024
Delving into the Trajectory Long-tail Distribution for Muti-object
  Tracking
Delving into the Trajectory Long-tail Distribution for Muti-object TrackingComputer Vision and Pattern Recognition (CVPR), 2024
Sijia Chen
En Yu
Jinyang Li
Wenbing Tao
DiffM
262
22
0
07 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
211
15
0
05 Mar 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a
  Family of Loss Functions
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
252
0
0
08 Feb 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness ObjectiveAAAI Conference on Artificial Intelligence (AAAI), 2024
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
194
3
0
25 Jan 2024
Neural Collapse for Cross-entropy Class-Imbalanced Learning with
  Unconstrained ReLU Feature Model
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature ModelInternational Conference on Machine Learning (ICML), 2024
Hien Dang
Tho Tran
Tan Minh Nguyen
Nhat Ho
231
16
0
04 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
127
5
0
27 Dec 2023
Online Continual Learning via Logit Adjusted Softmax
Online Continual Learning via Logit Adjusted Softmax
Zhehao Huang
Tao Li
Chenhe Yuan
Yingwen Wu
Xiaolin Huang
CLL
135
3
0
11 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event
  Detection
Uncertainty-guided Boundary Learning for Imbalanced Social Event DetectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Phillp S. Yu
206
24
0
30 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment
  for Imbalanced Learning
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced LearningNeural Information Processing Systems (NeurIPS), 2023
Zitai Wang
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
152
33
0
07 Oct 2023
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss
Engineering the Neural Collapse Geometry of Supervised-Contrastive LossIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jaidev Gill
V. Vakilian
Christos Thrampoulidis
148
4
0
02 Oct 2023
From SMOTE to Mixup for Deep Imbalanced Classification
From SMOTE to Mixup for Deep Imbalanced ClassificationInternational Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2023
Wei Cheng
Tan-Ha Mai
Hsuan-Tien Lin
131
8
0
29 Aug 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition
NCL++: Nested Collaborative Learning for Long-Tailed Visual RecognitionPattern Recognition (Pattern Recogn.), 2023
Zichang Tan
Jun Yu Li
Jinhao Du
Jun Wan
Zhen Lei
Guodong Guo
VLM
278
30
0
29 Jun 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Hong Wang
Wanrong Zhu
158
43
0
28 Jun 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual
  Recognition
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual RecognitionInternational Conference on Machine Learning (ICML), 2023
Boran Han
131
14
0
30 May 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual ManifoldsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yanbiao Ma
Licheng Jiao
Fan Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
278
12
0
22 Mar 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for
  Label-Imbalanced Data
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tina Behnia
Ganesh Ramachandra Kini
V. Vakilian
Christos Thrampoulidis
254
19
0
14 Mar 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
Kuo-Wei Lai
Vidya Muthukumar
180
5
0
13 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep
  Imbalanced Learning: A Case Study of Binary Tabular Data Classification
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data ClassificationInternational Journal of Advanced Computer Science and Applications (IJACSA), 2023
Ismail B. Mustapha
S. Hasan
Hatem S Y Nabbus
M. Montaser
S. Olatunji
Siti Maryam Shamsuddin
OOD
123
2
0
04 Mar 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced DataNeural Information Processing Systems (NeurIPS), 2022
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
182
37
0
28 Dec 2022
Leveraging Angular Information Between Feature and Classifier for
  Long-tailed Learning: A Prediction Reformulation Approach
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxu Wang
Junchi Yan
156
1
0
03 Dec 2022
Understanding CNN Fragility When Learning With Imbalanced Data
Understanding CNN Fragility When Learning With Imbalanced DataMachine-mediated learning (ML), 2022
Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh Chawla
160
52
0
17 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
195
11
0
06 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
191
7
0
19 Sep 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug
  Discovery
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
139
4
0
16 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance
  Between Classes
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Shungo Fujii
Yasunori Ishii
Kazuki Kozuka
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
153
2
0
12 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2022
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
Stefanos Zafeiriou
181
17
0
11 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningEuropean Conference on Computer Vision (ECCV), 2022
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
166
23
0
22 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic WorldIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
148
35
0
17 Aug 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Imbalance Trouble: Revisiting Neural-Collapse GeometryNeural Information Processing Systems (NeurIPS), 2022
Christos Thrampoulidis
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
165
84
0
10 Aug 2022
Efficient Augmentation for Imbalanced Deep Learning
Efficient Augmentation for Imbalanced Deep LearningIEEE International Conference on Data Engineering (ICDE), 2022
Damien Dablain
C. Bellinger
Bartosz Krawczyk
Nitesh Chawla
278
12
0
13 Jul 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in
  SnakeCLEF 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022Conference and Labs of the Evaluation Forum (CLEF), 2022
Cheng Zou
Furong Xu
Meng Wang
Wenqi Li
Yuan Cheng
98
6
0
04 Jul 2022
On how to avoid exacerbating spurious correlations when models are
  overparameterized
On how to avoid exacerbating spurious correlations when models are overparameterizedInternational Symposium on Information Theory (ISIT), 2022
Tina Behnia
Ke Wang
Christos Thrampoulidis
152
3
0
25 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Balanced Product of Calibrated Experts for Long-Tailed RecognitionComputer Vision and Pattern Recognition (CVPR), 2022
Emanuel Sanchez Aimar
Arvi Jonnarth
Michael Felsberg
Marco Kuhlmann
174
35
0
10 Jun 2022
Long-tailed Recognition by Learning from Latent Categories
Long-tailed Recognition by Learning from Latent Categories
Weide Liu
Zhonghua Wu
Yiming Wang
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
333
5
0
02 Jun 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
139
13
0
27 Apr 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition
Nested Collaborative Learning for Long-Tailed Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2022
Jun Li
Zichang Tan
Jun Wan
Zhen Lei
Guodong Guo
177
111
0
29 Mar 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM
Understanding Why Generalized Reweighting Does Not Improve Over ERMInternational Conference on Learning Representations (ICLR), 2022
Runtian Zhai
Chen Dan
Zico Kolter
Pradeep Ravikumar
OOD
371
32
0
28 Jan 2022
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