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No One Left Behind: Improving the Worst Categories in Long-Tailed
  Learning
v1v2 (latest)

No One Left Behind: Improving the Worst Categories in Long-Tailed Learning

7 March 2023
Yingxiao Du
Jianxin Wu
ArXiv (abs)PDFHTML

Papers citing "No One Left Behind: Improving the Worst Categories in Long-Tailed Learning"

20 / 20 papers shown
Title
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou
Yuheng Jia
58
0
0
22 May 2025
Taming the Long Tail in Human Mobility Prediction
Taming the Long Tail in Human Mobility Prediction
Xiaohang Xu
Renhe Jiang
Chuang Yang
Z. Fan
Kaoru Sezaki
137
3
0
19 Oct 2024
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari
Yu-Xiong Wang
Deva Ramanan
Shu Kong
MQ
91
146
0
27 Mar 2022
The Majority Can Help The Minority: Context-rich Minority Oversampling
  for Long-tailed Classification
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park
Youngkyu Hong
Byeongho Heo
Sangdoo Yun
J. Choi
119
157
0
01 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
95
182
0
27 Nov 2021
Parametric Contrastive Learning
Parametric Contrastive Learning
Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
89
281
0
26 Jul 2021
Distilling Virtual Examples for Long-tailed Recognition
Distilling Virtual Examples for Long-tailed Recognition
Yingying He
Jianxin Wu
Xiu-Shen Wei
92
102
0
28 Mar 2021
Disentangling Label Distribution for Long-tailed Visual Recognition
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
60
238
0
01 Dec 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
110
391
0
05 Oct 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
204
572
0
21 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
125
712
0
14 Jul 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
128
413
0
13 Jun 2020
M2m: Imbalanced Classification via Major-to-minor Translation
M2m: Imbalanced Classification via Major-to-minor Translation
Jaehyung Kim
Jongheon Jeong
Jinwoo Shin
95
224
0
01 Apr 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
293
803
0
05 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
180
1,223
0
21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
129
1,607
0
18 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,163
0
10 Apr 2019
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,691
0
09 Jun 2011
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