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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
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
Learning to Select Pivotal Samples for Meta Re-weighting
Learning to Select Pivotal Samples for Meta Re-weighting
Yinjun Wu
Adam Stein
Jacob R. Gardner
Mayur Naik
29
0
0
09 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
38
1
0
07 Feb 2023
Novel Building Detection and Location Intelligence Collection in Aerial
  Satellite Imagery
Novel Building Detection and Location Intelligence Collection in Aerial Satellite Imagery
Sandeep Singh
Christian Wiles
A. Bilal
30
0
0
06 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model
  for Noisy Labels and Long-tailed Learning
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Sunyi Chi
B. Dong
Yiming Xu
Zhenyu Shi
Zheng Du
NoLa
41
3
0
06 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma
Yongqin Xian
Ning Yu
Ambuj K. Singh
43
13
0
01 Feb 2023
DELTA: degradation-free fully test-time adaptation
DELTA: degradation-free fully test-time adaptation
Bowen Zhao
Chen Chen
Shutao Xia
TTA
86
57
0
30 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
35
143
0
26 Jan 2023
Integrating Local Real Data with Global Gradient Prototypes for
  Classifier Re-Balancing in Federated Long-Tailed Learning
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Wenkai Yang
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
FedML
43
5
0
25 Jan 2023
Probabilistic Bilevel Coreset Selection
Probabilistic Bilevel Coreset Selection
Xiao Zhou
Renjie Pi
Weizhong Zhang
Yong Lin
Tong Zhang
NoLa
31
27
0
24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
39
60
0
24 Jan 2023
Towards Spatial Equilibrium Object Detection
Towards Spatial Equilibrium Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ming-Ming Cheng
ObjD
33
0
0
14 Jan 2023
Effective Decision Boundary Learning for Class Incremental Learning
Effective Decision Boundary Learning for Class Incremental Learning
Chaoyue Ding
Kunchi Li
Jun Wan
Shan Yu
CLL
14
1
0
12 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal
  Difficulty Measure
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Xiaoling Zhou
Ou Wu
Weiyao Zhu
Ziyang Liang
44
2
0
12 Jan 2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Otto Brookes
Majid Mirmehdi
H. Kühl
T. Burghardt
36
14
0
06 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Zhisheng Zhong
Jiequan Cui
Yibo Yang
Xiaoyang Wu
Xiaojuan Qi
Xinming Zhang
Jiaya Jia
143
46
0
03 Jan 2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
Haeyong Kang
Chang D. Yoo
42
6
0
01 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
31
29
0
28 Dec 2022
Prototype-guided Cross-task Knowledge Distillation for Large-scale
  Models
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models
Deng Li
Aming Wu
Yahong Han
Qingwen Tian
VLM
33
2
0
26 Dec 2022
Off-Policy Reinforcement Learning with Loss Function Weighted by
  Temporal Difference Error
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
Bumgeun Park
Taeyoung Kim
Woohyeon Moon
L. Vecchietti
Dongsoo Har
OffRL
31
2
0
26 Dec 2022
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
Abu Adnan Sadi
Labib Chowdhury
Nur-Wa-Bushra Jahan
Mohammad Newaz Sharif Rafi
Radeya Chowdhury
Faisal Ahamed Khan
Nabeel Mohammed
23
9
0
24 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
30
17
0
23 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
35
12
0
16 Dec 2022
Differentiating Student Feedbacks for Knowledge Tracing
Differentiating Student Feedbacks for Knowledge Tracing
Jiajun Cui
Wei Zhang
Chanjin Zheng
Lu Wang
Mo Yu
Wei Zhang
AI4Ed
39
0
0
16 Dec 2022
Multi-Modal Domain Fusion for Multi-modal Aerial View Object
  Classification
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification
Sumanth Udupa
Aniruddh Sikdar
Suresh Sundaram
27
1
0
14 Dec 2022
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
37
25
0
13 Dec 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Yutong Dai
Zhenpeng Chen
Junnan Li
Shelby Heinecke
Lichao Sun
Ran Xu
FedML
23
77
0
06 Dec 2022
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
37
33
0
05 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge
VLG: General Video Recognition with Web Textual Knowledge
Jintao Lin
Zhaoyang Liu
Wenhai Wang
Wayne Wu
Limin Wang
39
0
0
03 Dec 2022
Leveraging Angular Information Between Feature and Classifier for
  Long-tailed Learning: A Prediction Reformulation Approach
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
COmic: Convolutional Kernel Networks for Interpretable End-to-End
  Learning on (Multi-)Omics Data
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data
Jonas C. Ditz
Bernhard Reuter
Nícolas Pfeifer
29
1
0
02 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng
Chaowei Fang
Dingwen Zhang
Guanbin Li
Gang Huang
46
11
0
02 Dec 2022
High Dimensional Binary Classification under Label Shift: Phase
  Transition and Regularization
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization
Jiahui Cheng
Minshuo Chen
Hao Liu
Tuo Zhao
Wenjing Liao
44
0
0
01 Dec 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage
  Assessment from Low-Data Imbalanced-Class Regime
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime
Yuqing Gao
Pengyuan Zhai
K. Mosalam
GAN
AI4CE
32
76
0
29 Nov 2022
Long-tail Cross Modal Hashing
Long-tail Cross Modal Hashing
Zijun Gao
Jun Wang
Guoxian Yu
Zhongmin Yan
C. Domeniconi
Jinglin Zhang
24
8
0
28 Nov 2022
Minority-Oriented Vicinity Expansion with Attentive Aggregation for
  Video Long-Tailed Recognition
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
VLM
17
5
0
24 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
Guanlin Li
Guowen Xu
Tianwei Zhang
NoLa
ISeg
23
0
0
24 Nov 2022
City-Wide Perceptions of Neighbourhood Quality using Street View Images
City-Wide Perceptions of Neighbourhood Quality using Street View Images
Emily Muller
Emily Gemmell
Ishmam Choudhury
Ricky Nathvani
A. B. Metzler
J. Bennett
Emily L. Denton
Seth Flaxman
M. Ezzati
8
1
0
22 Nov 2022
Dynamic Loss For Robust Learning
Dynamic Loss For Robust Learning
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLa
OOD
28
6
0
22 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed
  Recognition
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong
Changick Kim
38
1
0
22 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
36
12
0
20 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
  Method
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
44
20
0
20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced
  Loss
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang
Zhang-Hao Tian
Wujun Zhou
Wei Wang
NoLa
24
2
0
20 Nov 2022
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item
  Detection
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
Libo Zhang
Lutao Jiang
Ruyi Ji
Hengrui Fan
24
23
0
19 Nov 2022
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text
  Classification
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
Lin Xiao
Pengyu Xu
L. Jing
Xiang-Fei Zhang
27
1
0
19 Nov 2022
Informative Sample-Aware Proxy for Deep Metric Learning
Informative Sample-Aware Proxy for Deep Metric Learning
Aoyu Li
Ikuro Sato
Kohta Ishikawa
Rei Kawakami
Rio Yokota
24
1
0
18 Nov 2022
SMS: Spiking Marching Scheme for Efficient Long Time Integration of
  Differential Equations
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations
Qian Zhang
Adar Kahana
George Karniadakis
P. Stinis
24
8
0
17 Nov 2022
Hard Exudate Segmentation Supplemented by Super-Resolution with
  Multi-scale Attention Fusion Module
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module
Jiayi Zhang
Xiaoshan Chen
Zhongxi Qiu
Mingming Yang
Yan Hu
Jiang-Dong Liu
47
11
0
17 Nov 2022
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