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Class-Balanced Loss Based on Effective Number of Samples

Class-Balanced Loss Based on Effective Number of Samples

16 January 2019
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
ArXivPDFHTML

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

50 / 1,006 papers shown
Title
Combining Adversaries with Anti-adversaries in Training
Combining Adversaries with Anti-adversaries in Training
Xiaoling Zhou
Nan Yang
Ou Wu
AAML
26
7
0
25 Apr 2023
GARCIA: Powering Representations of Long-tail Query with
  Multi-granularity Contrastive Learning
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Weifan Wang
Binbin Hu
Zhicheng Peng
Mingjie Zhong
Qing Cui
Zhongyi Liu
Guannan Zhang
Jun Zhou
21
3
0
25 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under
  Long-tailed Distribution
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
Jiahao Chen
Bingyue Su
32
11
0
13 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through
  StyleGANs
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
Harsh Rangwani
Lavish Bansal
Kartik Sharma
Tejan Karmali
Varun Jampani
R. Venkatesh Babu
26
13
0
12 Apr 2023
Hyperbolic Geometric Graph Representation Learning for
  Hierarchy-imbalance Node Classification
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Xingcheng Fu
Yuecen Wei
Qingyun Sun
Haonan Yuan
Jia Wu
Hao Peng
Jianxin Li
AI4CE
27
24
0
11 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey
Class-Imbalanced Learning on Graphs: A Survey
Yihong Ma
Yijun Tian
Nuno Moniz
Nitesh V. Chawla
30
19
0
09 Apr 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
37
3
0
09 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
Wenxiang Xu
Lin Chen
Linyun Zhou
Jie Lei
Lechao Cheng
Zunlei Feng
Min-Gyoo Song
34
1
0
09 Apr 2023
Improving Identity-Robustness for Face Models
Improving Identity-Robustness for Face Models
Q. Qi
Shervin Ardeshir
CVBM
OOD
24
3
0
07 Apr 2023
Clutter Detection and Removal in 3D Scenes with View-Consistent
  Inpainting
Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting
Fangyin Wei
Thomas Funkhouser
Szymon Rusinkiewicz
3DV
3DPC
34
7
0
07 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene
  Understanding
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
Thanh-Dat Truong
Ngan Le
Bhiksha Raj
J. Cothren
Khoa Luu
47
25
0
04 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with
  Knowledge Excavation
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Yang Jin
Mengke Li
Yang Lu
Y. Cheung
Hanzi Wang
43
21
0
03 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition
Use Your Head: Improving Long-Tail Video Recognition
Toby Perrett
Saptarshi Sinha
T. Burghardt
Majid Mirmehdi
Dima Damen
41
15
0
03 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the
  Long-Tail
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
42
12
0
31 Mar 2023
Ranking Regularization for Critical Rare Classes: Minimizing False
  Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Kiarash Mohammadi
He Zhao
Mengyao Zhai
Frederick Tung
34
3
0
31 Mar 2023
Improving Scene Text Recognition for Character-Level Long-Tailed
  Distribution
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
S. Park
Sunghyo Chung
Jungsoo Lee
Jaegul Choo
20
1
0
31 Mar 2023
Towards Understanding the Effect of Pretraining Label Granularity
Towards Understanding the Effect of Pretraining Label Granularity
Guanzhe Hong
Huayu Chen
Ariel Fuxman
Stanley H. Chan
Enming Luo
21
2
0
29 Mar 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning
  Framework for Long-tail Trajectory Prediction
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Yuning Wang
Pu Zhang
Lei Bai
Jianru Xue
33
23
0
29 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
36
0
0
29 Mar 2023
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic
  Scene Graph Generation
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
Zijian Zhou
Miaojing Shi
Holger Caesar
29
18
0
28 Mar 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial
  Feature Augmentation
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
Yang Lu
Pinxin Qian
Gang Huang
Hanzi Wang
45
11
0
27 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Evelyn Chee
M. Lee
W. Hsu
CLL
11
7
0
24 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on
  Long-Tail Data
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Anna Kukleva
Moritz Bohle
Bernt Schiele
Hilde Kuehne
Christian Rupprecht
36
40
0
23 Mar 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
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
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Jiaheng Wei
Zhaowei Zhu
Gang Niu
Tongliang Liu
Sijia Liu
Masashi Sugiyama
Yang Liu
42
6
0
22 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuliang Yu
Yin Li
Yong Jae Lee
27
10
0
13 Mar 2023
Prototype-based Embedding Network for Scene Graph Generation
Prototype-based Embedding Network for Scene Graph Generation
Chao Zheng
Xinyu Lyu
Lianli Gao
Bo Dai
Jingkuan Song
29
41
0
13 Mar 2023
Use Perturbations when Learning from Explanations
Use Perturbations when Learning from Explanations
Juyeon Heo
Vihari Piratla
Matthew Wicker
Adrian Weller
AAML
38
1
0
11 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li
Ruqi Zhang
43
1
0
10 Mar 2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in
  Medical Images
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Lisa M. Koch
C. M. Schurch
Christian F. Baumgartner
Arthur Gretton
Philipp Berens
OOD
34
1
0
08 Mar 2023
EvCenterNet: Uncertainty Estimation for Object Detection using
  Evidential Learning
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Monish R. Nallapareddy
Kshitij Sirohi
Paulo L. J. Drews-Jr
Wolfram Burgard
Chih-Hong Cheng
Abhinav Valada
EDL
36
7
0
06 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep
  Imbalanced Learning: A Case Study of Binary Tabular Data Classification
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification
Ismail B. Mustapha
S. Hasan
Hatem S Y Nabbus
M. Montaser
S. Olatunji
Siti Maryam Shamsuddin
OOD
30
1
0
04 Mar 2023
AdaptiveShape: Solving Shape Variability for 3D Object Detection with
  Geometry Aware Anchor Distributions
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions
B. Sick
Michael Walter
Jochen Abhau
3DPC
19
1
0
28 Feb 2023
Rethink Long-tailed Recognition with Vision Transformers
Rethink Long-tailed Recognition with Vision Transformers
Zhengzhuo Xu
Shuo Yang
Xingjun Wang
Chun Yuan
20
4
0
28 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
  Classification
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Mengting Zhou
Zhiguo Gong
16
20
0
24 Feb 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
27
28
0
24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
42
1
0
22 Feb 2023
A Log-linear Gradient Descent Algorithm for Unbalanced Binary
  Classification using the All Pairs Squared Hinge Loss
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss
Kyle R. Rust
T. Hocking
29
1
0
21 Feb 2023
Advancing Stuttering Detection via Data Augmentation, Class-Balanced
  Loss and Multi-Contextual Deep Learning
Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
24
16
0
21 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
89
9
0
21 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation
Nystrom Method for Accurate and Scalable Implicit Differentiation
Ryuichiro Hataya
M. Yamada
ODL
42
8
0
20 Feb 2023
Text Classification in the Wild: a Large-scale Long-tailed Name
  Normalization Dataset
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
Jiexing Qi
Shuhao Li
Zhixin Guo
Yusheng Huang
Cheng Zhou
Weinan Zhang
Xinbing Wang
Zhouhan Lin
VLM
29
0
0
19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition
Mutual Exclusive Modulator for Long-Tailed Recognition
Haixu Long
Xiaolin Zhang
Yanbin Liu
Zongtai Luo
Jianbo Liu
19
2
0
19 Feb 2023
Interpreting wealth distribution via poverty map inference using
  multimodal data
Interpreting wealth distribution via poverty map inference using multimodal data
Lisette Espin Noboa
János Kertész
M. Karsai
16
3
0
17 Feb 2023
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality
  Learning
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning
Zhihao Qian
Yutian Lin
Bo Du
34
12
0
16 Feb 2023
Multi-Task Differential Privacy Under Distribution Skew
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene
Prateek Jain
Shuang Song
Mukund Sundararajan
Abhradeep Thakurta
Li Zhang
FedML
40
3
0
15 Feb 2023
Over-Sampling Strategy in Feature Space for Graphs based
  Class-imbalanced Bot Detection
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection
S. Shi
Kai Qiao
Jie Yang
Baojie Song
Jian Chen
Binghai Yan
16
14
0
14 Feb 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Qingzhong Ai
Pengyun Wang
Lirong He
Liangjiang Wen
Lujia Pan
Zenglin Xu
24
7
0
14 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
Sumyeong Ahn
Jongwoo Ko
Se-Young Yun
43
30
0
10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong
Jiangchao Yao
Zhihan Zhou
Ya Zhang
Yanfeng Wang
26
26
0
10 Feb 2023
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