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2001.01385
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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"
50 / 65 papers shown
Title
Compositional Attribute Imbalance in Vision Datasets
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Wei-Ming Dai
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Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
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07 Apr 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples
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Daewon Seo
175
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24 Feb 2025
The Fair Language Model Paradox
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Tomer Galanti
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15 Oct 2024
Fractal Calibration for long-tailed object detection
Computer Vision and Pattern Recognition (CVPR), 2024
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Ismail Elezi
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Anh H. Nguyen
Shan Luo
882
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15 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification
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Swarna Kamlam Ravindran
Shuai Yuan
Carlo Tomasi
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180
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04 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
International Conference on Learning Representations (ICLR), 2024
Naoya Hasegawa
Issei Sato
333
1
0
26 Sep 2024
Ultra-imbalanced classification guided by statistical information
Yin Jin
Ningtao Wang
Ruofan Wu
Pengfei Shi
Xing Fu
Weiqiang Wang
155
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0
06 Sep 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
International 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
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Suranga Seneviratne
195
9
0
24 Apr 2024
A replica analysis of under-bagging
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298
3
0
15 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
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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
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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
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Sijia Chen
En Yu
Jinyang Li
Wenbing Tao
DiffM
262
22
0
07 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
211
15
0
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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
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0
08 Feb 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI 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
International 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
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
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
IEEE 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
Neural 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
IEEE 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
International 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
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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
IEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Hong Wang
Wanrong Zhu
158
43
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28 Jun 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
International Conference on Machine Learning (ICML), 2023
Boran Han
131
14
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30 May 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
IEEE 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
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22 Mar 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
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Tina Behnia
Ganesh Ramachandra Kini
V. Vakilian
Christos Thrampoulidis
254
19
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14 Mar 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
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Vidya Muthukumar
180
5
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13 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification
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Ismail B. Mustapha
S. Hasan
Hatem S Y Nabbus
M. Montaser
S. Olatunji
Siti Maryam Shamsuddin
OOD
123
2
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04 Mar 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
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Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
182
37
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Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
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156
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Understanding CNN Fragility When Learning With Imbalanced Data
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Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh Chawla
160
52
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17 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
195
11
0
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Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
191
7
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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
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Wei Liu
Hongteng Xu
Jia Li
P. Zhao
Pheng-Ann Heng
VLM
139
4
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Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
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Yasunori Ishii
Kazuki Kozuka
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
153
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12 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
IEEE Transactions on Image Processing (IEEE TIP), 2022
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
Stefanos Zafeiriou
181
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0
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Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
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Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
166
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Open Long-Tailed Recognition in a Dynamic World
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Ziwei Liu
Zhongqi Miao
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Jiayun Wang
Boqing Gong
Stella X. Yu
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Imbalance Trouble: Revisiting Neural-Collapse Geometry
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Tina Behnia
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Efficient Augmentation for Imbalanced Deep Learning
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Bartosz Krawczyk
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278
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Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
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Meng Wang
Wenqi Li
Yuan Cheng
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On how to avoid exacerbating spurious correlations when models are overparameterized
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Ke Wang
Christos Thrampoulidis
152
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Balanced Product of Calibrated Experts for Long-Tailed Recognition
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Arvi Jonnarth
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174
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Long-tailed Recognition by Learning from Latent Categories
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ELM: Embedding and Logit Margins for Long-Tail Learning
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Nested Collaborative Learning for Long-Tailed Visual Recognition
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Zichang Tan
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Understanding Why Generalized Reweighting Does Not Improve Over ERM
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