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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
Constrained Optimization to Train Neural Networks on Critical and
  Under-Represented Classes
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli
Ertunc Erdil
A. Hoetker
O. Donati
E. Konukoglu
AI4CE
28
26
0
21 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image
  Segmentation
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li
Konstantinos Kamnitsas
Ben Glocker
SSeg
UQCV
20
127
0
20 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
40
257
0
18 Feb 2021
Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced Regression
Yuzhe Yang
Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
37
259
0
18 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
80
39
0
17 Feb 2021
Crop mapping from image time series: deep learning with multi-scale
  label hierarchies
Crop mapping from image time series: deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu
Stefano Dáronco
Gregor Perich
F. Liebisch
Constantin Streit
Konrad Schindler
Jan Dirk Wegner
87
129
0
17 Feb 2021
Robustness in Compressed Neural Networks for Object Detection
Robustness in Compressed Neural Networks for Object Detection
Sebastian Cygert
A. Czyżewski
34
8
0
10 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling
FedProf: Selective Federated Learning with Representation Profiling
Wentai Wu
Ligang He
Weiwei Lin
Carsten Maple
FedML
44
1
0
02 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion
  Classification
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao
Shuwei Shen
Mengjuan Xu
Peng Liu
Fan Zhang
Jinyu Xing
Pengfei Shao
B. Kaffenberger
Ronald X. Xu
29
115
0
02 Feb 2021
MalNet: A Large-Scale Image Database of Malicious Software
MalNet: A Large-Scale Image Database of Malicious Software
Scott Freitas
Rahul Duggal
Duen Horng Chau
16
29
0
31 Jan 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
132
168
0
29 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition
ResLT: Residual Learning for Long-tailed Recognition
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
18
127
0
26 Jan 2021
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao
Xiangliang Zhang
L. Jing
Chi Huang
Mingyang Song
VLM
45
56
0
24 Jan 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for
  Supervised Deep Learning
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
Paul Novello
Gaël Poëtte
D. Lugato
P. Congedo
19
0
0
19 Jan 2021
Analysis of skin lesion images with deep learning
Analysis of skin lesion images with deep learning
Josef Steppan
S. Hanke
36
14
0
11 Jan 2021
Few-Shot Learning with Class Imbalance
Few-Shot Learning with Class Imbalance
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
26
35
0
07 Jan 2021
End-2-End COVID-19 Detection from Breath & Cough Audio
End-2-End COVID-19 Detection from Breath & Cough Audio
H. Coppock
Alexander Gaskell
Panagiotis Tzirakis
Alice Baird
L. Jones
Björn W. Schuller
35
15
0
07 Jan 2021
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning
  from the WebFG 2020 Challenge
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
Xiu-Shen Wei
Yu-Yan Xu
Yazhou Yao
Jia Wei
Si Xi
...
Taolue Xue
Haipeng Jing
Zhiheng Wang
Tianming Zhang
Mingwen Zhang
20
0
0
29 Dec 2020
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free
  Object Detection
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Hopyong Gil
Sangwook Park
Yusang Park
Wongoo Han
Juyean Hong
Juneyoung Jung
ObjD
35
1
0
26 Dec 2020
Unsupervised Domain Adaptation for Semantic Segmentation by Content
  Transfer
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
Suhyeon Lee
Junhyuk Hyun
Hongje Seong
Euntai Kim
14
46
0
23 Dec 2020
High-Speed Robot Navigation using Predicted Occupancy Maps
High-Speed Robot Navigation using Predicted Occupancy Maps
Kapil D. Katyal
A. Polevoy
Joseph L. Moore
Craig Knuth
K. Popek
30
25
0
22 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for
  Unsupervised Domain Adaptation
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
46
133
0
21 Dec 2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed
  Object Detection
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Jingru Tan
Xin Lu
Gang Zhang
Changqing Yin
Quanquan Li
VLM
27
167
0
15 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
106
1,386
0
14 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
971
0
13 Dec 2020
Attentional-Biased Stochastic Gradient Descent
Attentional-Biased Stochastic Gradient Descent
Q. Qi
Yi Tian Xu
Rong Jin
W. Yin
Tianbao Yang
ODL
31
12
0
13 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Hongxin Wei
Lei Feng
R. Wang
Bo An
NoLa
27
6
0
09 Dec 2020
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
C. Bellinger
Roberto Corizzo
Nathalie Japkowicz
UQCV
4
14
0
03 Dec 2020
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual
  Speech Recognition
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
Genta Indra Winata
Guangsen Wang
Caiming Xiong
Guosheng Lin
VLM
16
50
0
03 Dec 2020
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
22
231
0
01 Dec 2020
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
29
19
0
30 Nov 2020
LABNet: Local Graph Aggregation Network with Class Balanced Loss for
  Vehicle Re-Identification
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification
A. M. N. Taufique
Andreas E. Savakis
35
20
0
29 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive
  Representation Transfer
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Zidi Xiu
Junya Chen
Ricardo Henao
B. Goldstein
Lawrence Carin
Chenyang Tao
18
10
0
25 Nov 2020
A Large-Scale Database for Graph Representation Learning
A Large-Scale Database for Graph Representation Learning
Scott Freitas
Yuxiao Dong
Joshua Neil
Duen Horng Chau
PINN
GNN
32
57
0
16 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
Intentonomy: a Dataset and Study towards Human Intent Understanding
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
19
29
0
11 Nov 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images
  for Object Detection
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu
Taojiannan Yang
Chong Chen
25
90
0
07 Nov 2020
Automated Grading System of Retinal Arterio-venous Crossing Patterns: A
  Deep Learning Approach Replicating Ophthalmologist's Diagnostic Process of
  Arteriolosclerosis
Automated Grading System of Retinal Arterio-venous Crossing Patterns: A Deep Learning Approach Replicating Ophthalmologist's Diagnostic Process of Arteriolosclerosis
Liangzhi Li
Manisha Verma
Bowen Wang
Yuta Nakashima
Hajime Nagahara
R. Kawasaki
16
0
0
07 Nov 2020
Leveraging Activity Recognition to Enable Protective Behavior Detection
  in Continuous Data
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
Chongyang Wang
Yuan Gao
Akhil Mathur
A. Williams
Nicholas D. Lane
N. Bianchi-Berthouze
32
34
0
03 Nov 2020
Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked
  Gibbs Sampling
Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling
Chung-En Sun
Yi-Wei Chen
Hung-Shin Lee
Yen-Hsing Chen
Hsin-Min Wang
23
14
0
26 Oct 2020
Robustness May Be at Odds with Fairness: An Empirical Study on
  Class-wise Accuracy
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
24
57
0
26 Oct 2020
Discriminative feature generation for classification of imbalanced data
Discriminative feature generation for classification of imbalanced data
Sungho Suh
P. Lukowicz
Y. Lee
43
21
0
24 Oct 2020
Coping with Label Shift via Distributionally Robust Optimisation
Coping with Label Shift via Distributionally Robust Optimisation
Jiaming Zhang
A. Menon
Andreas Veit
Srinadh Bhojanapalli
Sanjiv Kumar
S. Sra
OOD
24
70
0
23 Oct 2020
Posterior Re-calibration for Imbalanced Datasets
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian
Yen-Cheng Liu
Nathan Glaser
Yen-Chang Hsu
Z. Kira
21
62
0
22 Oct 2020
Replacing Human Audio with Synthetic Audio for On-device Unspoken
  Punctuation Prediction
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction
Daria Soboleva
Ondrej Skopek
Márius vSajgalík
Victor Cuarbune
Felix Weissenberger
...
B. Prisacari
Daniel Valcarce
Justin Lu
Rohit Prabhavalkar
Balint Miklos
42
9
0
20 Oct 2020
Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health
  Decision Making in the Presence of COVID-19 Misinformation
Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation
Arkin Dharawat
Ismini Lourentzou
Alex Morales
ChengXiang Zhai
33
17
0
17 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression
  Fracture Diagnosis
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
Shixiang Feng
Beibei Liu
Ya Zhang
Xiaoyun Zhang
Yuehua Li
17
10
0
13 Oct 2020
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
Q. H. Cap
Hiroki Tani
H. Uga
S. Kagiwada
Hitoshi Iyatomi
6
24
0
12 Oct 2020
Few-shot Learning for Multi-label Intent Detection
Few-shot Learning for Multi-label Intent Detection
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
VLM
21
49
0
11 Oct 2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale
  Radio-Pathomics Study
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Jiancheng Yang
Mingze Gao
Kaiming Kuang
Bingbing Ni
Y. She
D. Xie
Chang Chen
8
7
0
08 Oct 2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
19
36
0
05 Oct 2020
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