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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 / 1,009 papers shown
Title
Multimodal analysis of the predictability of hand-gesture properties
Multimodal analysis of the predictability of hand-gesture properties
Taras Kucherenko
Rajmund Nagy
Michael Neff
Hedvig Kjellström
G. Henter
34
22
0
12 Aug 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in
  One-Shot
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
Jiarui Cai
Yizhou Wang
Lei Li
OODD
21
134
0
05 Aug 2021
Learning with Noisy Labels via Sparse Regularization
Learning with Noisy Labels via Sparse Regularization
Xiong Zhou
Xianming Liu
Chenyang Wang
Deming Zhai
Junjun Jiang
Xiangyang Ji
NoLa
34
51
0
31 Jul 2021
Fine-Grained Classroom Activity Detection from Audio with Neural
  Networks
Fine-Grained Classroom Activity Detection from Audio with Neural Networks
Eric Slyman
Chris Daw
Morgan Skrabut
A. Usenko
Brian Hutchinson
HAI
25
5
0
29 Jul 2021
Imbalanced Adversarial Training with Reweighting
Imbalanced Adversarial Training with Reweighting
Wentao Wang
Han Xu
Xiaorui Liu
Yaxin Li
B. Thuraisingham
Jiliang Tang
37
16
0
28 Jul 2021
Learning with Multiclass AUC: Theory and Algorithms
Learning with Multiclass AUC: Theory and Algorithms
Zhiyong Yang
Qianqian Xu
Shilong Bao
Xiaochun Cao
Qingming Huang
41
67
0
28 Jul 2021
Parametric Contrastive Learning
Parametric Contrastive Learning
Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
41
270
0
26 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic
  Long-Tailed Recognition
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Yifan Zhang
Bryan Hooi
Lanqing Hong
Jiashi Feng
32
127
0
20 Jul 2021
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised
  Large-scale Fine-Grained Recognition
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
Hao Chang
Guochen Xie
Jun Yu
Q. Ling
24
0
0
14 Jul 2021
Learning from Crowds with Sparse and Imbalanced Annotations
Learning from Crowds with Sparse and Imbalanced Annotations
Ye Shi
Shao-Yuan Li
Sheng-Jun Huang
27
5
0
11 Jul 2021
Training Over-parameterized Models with Non-decomposable Objectives
Training Over-parameterized Models with Non-decomposable Objectives
Harikrishna Narasimhan
A. Menon
31
12
0
09 Jul 2021
Online Adaptation to Label Distribution Shift
Online Adaptation to Label Distribution Shift
Ruihan Wu
Chuan Guo
Yi-Hsun Su
Kilian Q. Weinberger
21
47
0
09 Jul 2021
Machine Learning for Stuttering Identification: Review, Challenges and
  Future Directions
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
33
48
0
08 Jul 2021
Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
Lei Liu
Li Liu
36
0
0
08 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
29
24
0
07 Jul 2021
Predicate correlation learning for scene graph generation
Predicate correlation learning for scene graph generation
Lei Tao
Li Mi
Nannan Li
Xianhang Cheng
Yaosi Hu
Zhenzhong Chen
45
17
0
06 Jul 2021
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face
  Clustering
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
Huafeng Yang
Qijie Shen
Xingjian Chen
Fangyi Zhang
R. Du
CVBM
33
0
0
06 Jul 2021
MSE Loss with Outlying Label for Imbalanced Classification
MSE Loss with Outlying Label for Imbalanced Classification
S. Kato
Kazuhiro Hotta
16
11
0
06 Jul 2021
On Model Calibration for Long-Tailed Object Detection and Instance
  Segmentation
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan
Cheng Zhang
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
32
45
0
05 Jul 2021
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative
  Cases and Vaticinating the Probability of Maturation to ARDS using
  Posteroanterior Chest X-Rays
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
Peeyush Kumar
Ayushe Gangal
Sunita Kumari
24
1
0
03 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
32
21
0
02 Jul 2021
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant
  Re-Identification
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
Peter Kulits
J. Wall
A. Bedetti
M. Henley
Sara Beery
30
20
0
29 Jun 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation
Striking the Right Balance: Recall Loss for Semantic Segmentation
Junjiao Tian
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
Z. Kira
11
31
0
28 Jun 2021
Image Classification with CondenseNeXt for ARM-Based Computing Platforms
Image Classification with CondenseNeXt for ARM-Based Computing Platforms
Priyank Kalgaonkar
M. El-Sharkawy
28
2
0
26 Jun 2021
Image-to-Image Translation of Synthetic Samples for Rare Classes
Image-to-Image Translation of Synthetic Samples for Rare Classes
Edoardo Lanzini
Sara Beery
24
2
0
23 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
31
144
0
21 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
18
25
0
19 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
SyDa
30
84
0
18 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
21
108
0
17 Jun 2021
BABEL: Bodies, Action and Behavior with English Labels
BABEL: Bodies, Action and Behavior with English Labels
Abhinanda R. Punnakkal
Arjun Chandrasekaran
Nikos Athanasiou
Alejandra Quiros-Ramirez
Michael J. Black Max Planck Institute for Intelligent Systems
30
209
0
17 Jun 2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
Arpit Bansal
Micah Goldblum
Valeriia Cherepanova
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
20
8
0
17 Jun 2021
Keyframe-Focused Visual Imitation Learning
Keyframe-Focused Visual Imitation Learning
Chuan Wen
Jierui Lin
Jianing Qian
Yang Gao
Dinesh Jayaraman
VGen
24
18
0
11 Jun 2021
Conterfactual Generative Zero-Shot Semantic Segmentation
Conterfactual Generative Zero-Shot Semantic Segmentation
Feihong Shen
Jun Liu
Ping Hu
BDL
39
9
0
11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
44
64
0
10 Jun 2021
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Jiali Deng
Minghui Liu
Meilin Liu
AAML
21
0
0
08 Jun 2021
Adversarial Semantic Hallucination for Domain Generalized Semantic
  Segmentation
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation
Gabriel Tjio
Ping Liu
Qiufeng Wang
Rick Siow Mong Goh
OOD
27
16
0
08 Jun 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics
  using Symmetry Preserving Attention
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention
Alexander Shmakov
M. Fenton
Ta-Wei Ho
Shih-Chieh Hsu
D. Whiteson
Pierre Baldi
28
32
0
07 Jun 2021
Energy Aligning for Biased Models
Energy Aligning for Biased Models
Bowen Zhao
Chen Chen
Qi Ju
Shutao Xia
22
1
0
07 Jun 2021
Self-Damaging Contrastive Learning
Self-Damaging Contrastive Learning
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zhangyang Wang
CLL
22
69
0
06 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
25
139
0
02 Jun 2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Ju He
Adam Kortylewski
Shaokang Yang
Shuai Liu
Cheng Yang
Changhu Wang
Alan Yuille
14
24
0
01 Jun 2021
Identity and Attribute Preserving Thumbnail Upscaling
Identity and Attribute Preserving Thumbnail Upscaling
Noam Gat
Sagie Benaim
Lior Wolf
CVBM
8
2
0
30 May 2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient
  and Imbalanced Hyperspectral Image Classification
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu
Weihuan Deng
Zhuo Zheng
Yanfei Zhong
Qingfeng Guan
Weihua Lin
Liangpei Zhang
Deren Li
24
120
0
29 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for
  Speed-Accuracy Optimization
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Taiki Miyagawa
Akinori F. Ebihara
25
3
0
28 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node
  Classification
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
S. Shi
Kai Qiao
Shuai Yang
Linyuan Wang
Jian Chen
B. Yan
AI4CE
16
28
0
25 May 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte
Yogesh S Rawat
M. Shah
39
15
0
22 May 2021
Automated Detection of Abnormalities from an EEG Recording of Epilepsy
  Patients With a Compact Convolutional Neural Network
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network
Takuhei Shoji
Noboru Yoshida
Toshihisa Tanaka
16
27
0
21 May 2021
Drill the Cork of Information Bottleneck by Inputting the Most Important
  Data
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
Xinyu Peng
Jiawei Zhang
Feiyue Wang
Li Li
27
6
0
15 May 2021
Biometrics: Trust, but Verify
Biometrics: Trust, but Verify
Anil K. Jain
Debayan Deb
Joshua J. Engelsma
FaML
33
80
0
14 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output
  Spaces
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
A. S. Rawat
A. Menon
Wittawat Jitkrittum
Sadeep Jayasumana
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
42
9
0
12 May 2021
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