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2009.12991
Cited By
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
28 September 2020
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
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Papers citing
"Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect"
50 / 96 papers shown
Title
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Xiaoshuo Yan
Z. Li
Lei Meng
Zhuang Qi
Wei Wu
Zixuan Li
X. Meng
CML
BDL
40
0
0
13 May 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Li Pan
Yupei Zhang
Qiushi Yang
Tan Li
Zhen Chen
56
0
0
05 Feb 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen
Bin Qin
Jiangmeng Li
Hao Chen
Bing-Huang Su
85
0
0
27 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
F.S. Pezzicoli
V. Ros
F.P. Landes
M. Baity-Jesi
42
1
0
20 Jan 2025
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
59
0
0
02 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
41
0
0
26 Sep 2024
Topic-aware Causal Intervention for Counterfactual Detection
Thong Nguyen
Truc-My Nguyen
31
1
0
25 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
33
1
0
23 Sep 2024
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAML
OOD
CML
52
0
0
28 Aug 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
26
7
0
18 Apr 2024
How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding
Jiamin Luo
Jianing Zhao
Jingjing Wang
Guodong Zhou
46
0
0
29 Feb 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
44
11
0
28 Oct 2023
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
49
6
0
11 Oct 2023
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
30
5
0
25 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
29
0
0
21 Aug 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
24
2
0
23 Jun 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
Seungjin Jung
Seung-Woo Seo
Yonghyun Jeong
Jongwon Choi
31
3
0
19 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
24
0
16 Jun 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Mengke Li
Yiu-ming Cheung
Yang Lu
24
90
0
19 May 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
Wenxiang Xu
Lin Chen
Linyun Zhou
Jie Lei
Lechao Cheng
Zunlei Feng
Min-Gyoo Song
28
1
0
09 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang
Zhuohao Yu
Jindong Wang
Qiang Heng
Haoxing Chen
Wei Ye
Rui Xie
Xingxu Xie
Shi-Bo Zhang
VLM
35
30
0
04 Apr 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
36
5
0
22 Mar 2023
Cross-Modal Causal Intervention for Medical Report Generation
Weixing Chen
Yang Liu
Ce Wang
Jiarui Zhu
Shen Zhao
Guanbin Li
Cheng-Lin Liu
Liang Lin
34
6
0
16 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Tiancheng Lin
Zhimiao Yu
Hongyu Hu
Yi Xu
Changyi Chen
57
79
0
13 Mar 2023
On Learning Necessary and Sufficient Causal Graphs
Hengrui Cai
Yixin Wang
Michael Jordan
Rui Song
CML
28
12
0
29 Jan 2023
Long-tail Detection with Effective Class-Margins
Jang Hyun Cho
Philipp Krahenbuhl
33
17
0
23 Jan 2023
Interpretable ML for Imbalanced Data
Damien Dablain
C. Bellinger
Bartosz Krawczyk
D. Aha
Nitesh V. Chawla
24
1
0
15 Dec 2022
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
37
32
0
05 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxu Wang
Junchi Yan
26
1
0
03 Dec 2022
Unbiased Knowledge Distillation for Recommendation
Gang Chen
Jiawei Chen
Fuli Feng
Sheng Zhou
Xiangnan He
29
27
0
27 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Chang-Tien Lu
OOD
BDL
CML
MedIm
26
0
0
28 Oct 2022
Respecting Transfer Gap in Knowledge Distillation
Yulei Niu
Long Chen
Chan Zhou
Hanwang Zhang
26
23
0
23 Oct 2022
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
Jean Kaddour
MoMe
3DH
24
39
0
29 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
51
38
0
21 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
46
9
0
11 Sep 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
38
25
0
22 Aug 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
32
17
0
22 Aug 2022
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
37
8
0
19 Aug 2022
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
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
35
22
0
22 Jul 2022
Tackling Long-Tailed Category Distribution Under Domain Shifts
Xiao Gu
Yao Guo
Zeju Li
Jianing Qiu
Qianming Dou
Yuxuan Liu
Benny Lo
Guangxu Yang
OOD
45
12
0
20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
32
52
0
19 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu
Zhilin Wang
Jingjing Chen
Yi-Ping Phoebe Chen
Yueping Jiang
24
167
0
19 Jul 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
Guangzhi Wang
Yangyang Guo
Yongkang Wong
Mohan S. Kankanhalli
31
10
0
06 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe
W. Neiswanger
P. Xie
Eric P. Xing
AI4CE
31
30
0
05 Jul 2022
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q. S. Quek
Zuozhu Liu
FedML
23
10
0
30 Jun 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
31
52
0
26 Jun 2022
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Peixian Chen
Kekai Sheng
Mengdan Zhang
Mingbao Lin
Yunhang Shen
Shaohui Lin
Bo Ren
Ke Li
VLM
ObjD
39
27
0
22 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Emanuel Sanchez Aimar
Arvi Jonnarth
M. Felsberg
Marco Kuhlmann
17
22
0
10 Jun 2022
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