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Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

18 June 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
ArXivPDFHTML

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

50 / 316 papers shown
Title
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
35
70
0
10 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised
  Learning
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
OOD
29
11
0
09 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced
  Classification
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
D. Guo
Zhuo Li
Meixi Zheng
He Zhao
Mingyuan Zhou
H. Zha
40
24
0
05 Aug 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
27
31
0
29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
25
16
0
28 Jul 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
38
22
0
22 Jul 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced
  Data
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani
Yiwen Shi
Jing Wang
Ping Ren
Yi Zhang
Meng Hu
Lianggong Zhao
Hualou Liang
36
7
0
22 Jul 2022
Estimating Model Performance under Domain Shifts with Class-Specific
  Confidence Scores
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores
Zeju Li
Konstantinos Kamnitsas
Mobarakol Islam
Chen Chen
Ben Glocker
30
9
0
20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
32
53
0
19 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu
Zhilin Wang
Jingjing Chen
Yi-Ping Phoebe Chen
Yueping Jiang
27
168
0
19 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
40
32
0
18 Jul 2022
Learning Discriminative Representation via Metric Learning for
  Imbalanced Medical Image Classification
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Chenghua Zeng
Huijuan Lu
Kanghao Chen
Ruixuan Wang
Weishi Zheng
39
2
0
14 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging
  Algorithmic Fairness and Imbalanced Learning
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
FaML
26
20
0
13 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning
Efficient Augmentation for Imbalanced Deep Learning
Damien Dablain
C. Bellinger
Bartosz Krawczyk
Nitesh Chawla
34
7
0
13 Jul 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image
  Classification
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Kanghao Chen
Weixian Lei
Rong Zhang
Shen Zhao
Weishi Zheng
Ruixuan Wang
OOD
19
20
0
11 Jul 2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
Xinyu Lyu
Lianli Gao
Pengpeng Zeng
Hengtao Shen
Jingkuan Song
44
18
0
11 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the
  Numerical Weather Prediction
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Taehyeon Kim
Namgyu Ho
Donggyu Kim
Se-Young Yun
BDL
20
6
0
30 Jun 2022
Towards Federated Long-Tailed Learning
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q.S. Quek
Zuozhu Liu
FedML
28
10
0
30 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
28
22
0
17 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss
Learning Imbalanced Datasets with Maximum Margin Loss
Haeyong Kang
Thang Vu
Chang D. Yoo
21
18
0
11 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Emanuel Sanchez Aimar
Arvi Jonnarth
M. Felsberg
Marco Kuhlmann
28
22
0
10 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on
  Imbalanced Data
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng
Jiayao Zhang
Linjun Zhang
Ting Ye
Yates Coley
Weijie J. Su
James Zou
43
16
0
06 Jun 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang
Li Shen
Wanyue Zhang
Chuan-Sheng Foo
TTA
60
18
0
30 May 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
27
123
0
27 May 2022
Importance Weighted Structure Learning for Scene Graph Generation
Importance Weighted Structure Learning for Scene Graph Generation
Daqing Liu
M. Bober
J. Kittler
29
5
0
14 May 2022
Optimising Equal Opportunity Fairness in Model Training
Optimising Equal Opportunity Fairness in Model Training
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
32
28
0
05 May 2022
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial
  View Object Classification
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification
Jun-chen Yu
Hao Chang
Keda Lu
Liwen Zhang
Shenshen Du
Zhong Zhang
32
2
0
04 May 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier
  Re-Training with Federated Features
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang
Yang Lu
Gang Huang
Hanzi Wang
FedML
31
79
0
28 Apr 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
41
11
0
27 Apr 2022
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
George Michalopoulos
Michal Malyska
Nicola Sahar
Alexander Wong
Helen H. Chen
27
20
0
21 Apr 2022
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Renhui Zhang
Tiancheng Lin
Rui Zhang
Yi Xu
27
4
0
20 Apr 2022
Flexible Sampling for Long-tailed Skin Lesion Classification
Flexible Sampling for Long-tailed Skin Lesion Classification
Lie Ju
Yicheng Wu
Lin Wang
Zhenjun Yu
Xin Zhao
Xin Wang
Paul Bonnington
Z. Ge
32
9
0
07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
56
320
0
06 Apr 2022
Vision Transformer Equipped with Neural Resizer on Facial Expression
  Recognition Task
Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task
Hyeonbin Hwang
Soyeon Kim
Wei-Jin Park
Jiho Seo
Kyungtae Ko
Hyeon Yeo
ViT
45
9
0
05 Apr 2022
Region Rebalance for Long-Tailed Semantic Segmentation
Region Rebalance for Long-Tailed Semantic Segmentation
Jiequan Cui
Yuhui Yuan
Zhisheng Zhong
Zhuotao Tian
Han Hu
Stephen Lin
Jiaya Jia
18
18
0
05 Apr 2022
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari
Yu-xiong Wang
Deva Ramanan
Shu Kong
MQ
25
141
0
27 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic
  Choices
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Dixian Zhu
Xiaodong Wu
Tianbao Yang
35
10
0
27 Mar 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Zhisheng Zhong
Jiequan Cui
Zeming Li
Eric Lo
Jian Sun
Jiaya Jia
SSL
15
4
0
22 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive
  Feature Generation
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation
Zihan Zhang
Xiang Xiang
VLM
27
2
0
28 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alex Long
Wei Yin
Thalaiyasingam Ajanthan
Vu-Linh Nguyen
Pulak Purkait
Ravi Garg
Alan Blair
Chunhua Shen
Anton Van Den Hengel
21
107
0
22 Feb 2022
Imbalanced Classification via Explicit Gradient Learning From Augmented
  Data
Imbalanced Classification via Explicit Gradient Learning From Augmented Data
Bronislav Yasinnik
Moshe Salhov
Ofir Lindenbaum
Amir Averbuch
19
0
0
21 Feb 2022
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Byeongjun Park
Jeongsoo Kim
Seungju Cho
Heeseon Kim
Changick Kim
29
2
0
15 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
32
4
0
07 Feb 2022
Resistance Training using Prior Bias: toward Unbiased Scene Graph
  Generation
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
Chao Chen
Yibing Zhan
Baosheng Yu
Liu Liu
Yong Luo
Bo Du
33
40
0
18 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Yin-Yin He
Peizhen Zhang
Xiu-Shen Wei
Xinming Zhang
Jian Sun
ISeg
42
24
0
08 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
19
67
0
04 Jan 2022
Distribution-aware Margin Calibration for Semantic Segmentation in
  Images
Distribution-aware Margin Calibration for Semantic Segmentation in Images
Litao Yu
Zhibin Li
Min Xu
Yongsheng Gao
Jiebo Luo
Jian Zhang
12
15
0
21 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced
  Classification by Training on Random Noise Images
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Shiran Zada
Itay Benou
Michal Irani
35
26
0
16 Dec 2021
Margin Calibration for Long-Tailed Visual Recognition
Margin Calibration for Long-Tailed Visual Recognition
Yidong Wang
Bowen Zhang
Wenxin Hou
Zhen Wu
Jindong Wang
T. Shinozaki
MQ
16
27
0
14 Dec 2021
Neural Belief Propagation for Scene Graph Generation
Neural Belief Propagation for Scene Graph Generation
Daqi Liu
M. Bober
J. Kittler
GNN
21
8
0
10 Dec 2021
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