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Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
v1v2 (latest)

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Neural Information Processing Systems (NeurIPS), 2019
18 June 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
ArXiv (abs)PDFHTML

Papers citing "Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"

50 / 879 papers shown
Operator-Theoretic Framework for Gradient-Free Federated Learning
Operator-Theoretic Framework for Gradient-Free Federated Learning
Mohit Kumar
Mathias Brucker
Alexander Valentinitsch
Adnan Husaković
Ali Abbas
Manuela Geiß
Bernhard A. Moser
FedML
224
0
0
30 Nov 2025
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex
Francesco Marchetti
Edoardo Legnaro
Sabrina Guastavino
52
0
0
27 Nov 2025
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
Wei Tang
Zuo-Zheng Wang
Kun Zhang
Tong Wei
Min-Ling Zhang
VLM
222
0
0
25 Nov 2025
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Jiawei Hu
Javier A. Barria
78
0
0
23 Nov 2025
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
384
0
0
20 Nov 2025
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
Chaofan Zhu
Xiaobing Rui
Zhixiao Wang
228
0
0
13 Nov 2025
Mitigating Negative Flips via Margin Preserving Training
Mitigating Negative Flips via Margin Preserving Training
Simone Ricci
Niccoló Biondi
F. Pernici
Alberto Del Bimbo
VLM
169
0
0
11 Nov 2025
SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
Brenda Nogueira
Meng Jiang
Nitesh Chawla
Nuno Moniz
112
0
0
06 Nov 2025
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
Subeen Park
Joowang Kim
Hakyung Lee
Sunjae Yoo
Kyungwoo Song
128
0
0
06 Nov 2025
How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data
How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data
Bhavya Vasudeva
Puneesh Deora
Yize Zhao
Vatsal Sharan
Christos Thrampoulidis
252
1
0
27 Oct 2025
Long-tailed Species Recognition in the NACTI Wildlife Dataset
Long-tailed Species Recognition in the NACTI Wildlife Dataset
Zehua Liu
Tilo Burghardt
94
0
0
24 Oct 2025
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad
Mohammadreza M. Kalan
François Portier
Gilles Stupfler
108
0
0
23 Oct 2025
Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect Classification
Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect ClassificationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
H. Shao
Chun-Hao Chang
Yu-Hsien Lin
Chia-Wen Lin
Shao-Yun Fang
Yan-Hsiu Liu
125
0
0
22 Oct 2025
Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis
Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis
Xinhao Cai
Liulei Li
Gensheng Pei
Tao Chen
Jinshan Pan
Yazhou Yao
Wenguan Wang
170
0
0
21 Oct 2025
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
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Canran Xiao
Chuangxin Zhao
Zong Ke
Fei Shen
115
4
0
20 Oct 2025
Large Language Models for Imbalanced Classification: Diversity makes the difference
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D. Nguyen
Sunil Gupta
Kien Do
T. Nguyen
Taylor Braund
Alexis Whitton
Svetha Venkatesh
128
1
0
10 Oct 2025
Long-tailed Recognition with Model Rebalancing
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Jiaan Luo
Feng Hong
Qiang Hu
Xiaofeng Cao
Feng Liu
Jiangchao Yao
148
0
0
09 Oct 2025
Long-Tailed Recognition via Information-Preservable Two-Stage Learning
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Fudong Lin
Xu Yuan
113
0
0
09 Oct 2025
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Feng Hong
Yu Huang
Zihua Zhao
Zhihan Zhou
Jiangchao Yao
Dongsheng Li
Y. Zhang
Y. Wang
189
2
0
09 Oct 2025
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
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Weijian Deng
Weijie Tu
Ibrahim Radwan
Mohammad Abu Alsheikh
Stephen Gould
Liang Zheng
131
0
0
03 Oct 2025
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation
Hyunsoo Song
Minjung Gim
Jaewoong Choi
OT
200
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0
30 Sep 2025
Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading
Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading
Nagur Shareef Shaik
T. Cherukuri
Adnan Masood
Ehsan Adeli
Dong Hye Ye
84
0
0
30 Sep 2025
Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced Regimes
Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced Regimes
Akshar Gothi
81
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0
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FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
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Xiangyu Dong
Xingyi Zhang
Sibo Wang
106
0
0
25 Sep 2025
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2025
Sheng Huang
Jiexuan Yan
B. Liu
Bo Liu
Richang Hong
VLM
151
0
0
22 Sep 2025
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
Tan-Ha Mai
Hsuan-Tien Lin
104
2
0
22 Sep 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
447
0
0
21 Sep 2025
Efficient Long-Tail Learning in Latent Space by sampling Synthetic Data
Efficient Long-Tail Learning in Latent Space by sampling Synthetic Data
Nakul Sharma
107
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0
19 Sep 2025
Learning by Imagining: Debiased Feature Augmentation for Compositional Zero-Shot Learning
Learning by Imagining: Debiased Feature Augmentation for Compositional Zero-Shot Learning
H. Zhang
Chenchen Jing
Mingyu Liu
Qingsheng Wang
Hao Chen
CoGe
180
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0
16 Sep 2025
Optimizing Class Distributions for Bias-Aware Multi-Class Learning
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Mirco Felske
Stefan Stiene
150
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ACE and Diverse Generalization via Selective Disagreement
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Oliver Daniels
Stuart Armstrong
Alexandre Maranhao
Mahirah Fairuz Rahman
Benjamin M. Marlin
Rebecca Gorman
OODD
235
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0
09 Sep 2025
Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments
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Amir Homayounirad
Enrico Liscio
Tong Wang
Catholijn M. Jonker
Luciano C.Siebert
94
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Conditional-$t^3$VAE: Equitable Latent Space Allocation for Fair Generation
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Aymene Mohammed Bouayed
Samuel Deslauriers-Gauthier
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D. Naccache
DRLCML
231
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Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
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Shan Tan
151
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ART: Adaptive Resampling-based Training for Imbalanced Classification
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127
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Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
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Class-wise Flooding Regularization for Imbalanced Image Classification
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Curvature Learning for Generalization of Hyperbolic Neural Networks
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244
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LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions
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Conformal Prediction Meets Long-tail Classification
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179
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GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs
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An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI
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125
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ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning
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