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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
ArXiv (abs)PDFHTML

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

50 / 1,024 papers shown
Title
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
146
0
0
02 Oct 2024
Group Distributionally Robust Optimization can Suppress Class Imbalance
  Effect in Network Traffic Classification
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification
Wumei Du
Qi Wang
Yiqin Lv
Dong Liang
Guanlin Wu
Xingxing Liang
Zheng Xie
26
0
0
28 Sep 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
131
0
0
26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
90
1
0
23 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li
Yifan Zhang
Yu Huang
Kevin Leach
96
1
0
20 Sep 2024
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
Yongqi Wang
Xinxiao Wu
Shuo Yang
Jiebo Luo
462
1
0
19 Sep 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated
  Long-Tailed Learning
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
Xiuhua Lu
Peng Li
Xuefeng Jiang
FedML
115
3
0
18 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong
Pan Zhou
W. Zuo
VLM
92
0
0
17 Sep 2024
Stimulus Modality Matters: Impact of Perceptual Evaluations from
  Different Modalities on Speech Emotion Recognition System Performance
Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance
Huang-Cheng Chou
Haibin Wu
Chi-Chun Lee
100
2
0
16 Sep 2024
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT
  Images
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images
Yaopeng Peng
Zhi Chen
Andreas Wahle
T. Kovárník
Milan Sonk
Benlin Liu
41
0
0
13 Sep 2024
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed
  Scenarios
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios
Xinlei Huang
Jialiang Tang
Xubin Zheng
Jinjia Zhou
Wenxin Yu
Ning Jiang
94
0
0
12 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
124
5
0
11 Sep 2024
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech
  Recognition
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition
Yi-Cheng Wang
Li-Ting Pai
Bi-Cheng Yan
Hsin-Wei Wang
Chi-Han Lin
Berlin Chen
57
1
0
10 Sep 2024
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on
  Heterogeneous and Long-tailed Data
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data
Jianyi Zhang
H. Yang
Ang Li
Xin Guo
Pu Wang
Haiming Wang
Yiran Chen
Hai Li
68
3
0
09 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
89
2
0
09 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
Tomoyuki Obuchi
Toshiyuki Tanaka
142
0
0
09 Sep 2024
Efficient Classification of Histopathology Images
Efficient Classification of Histopathology Images
Mohammad Iqbal Nouyed
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
56
0
0
08 Sep 2024
Ultra-imbalanced classification guided by statistical information
Ultra-imbalanced classification guided by statistical information
Yin Jin
Ningtao Wang
Ruofan Wu
Pengfei Shi
Xing Fu
Weiqiang Wang
71
0
0
06 Sep 2024
Text-Guided Mixup Towards Long-Tailed Image Categorization
Text-Guided Mixup Towards Long-Tailed Image Categorization
Richard Franklin
Jiawei Yao
Deyang Zhong
Qi Qian
Juhua Hu
VLM
72
0
0
05 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes
  via guided diffusion
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller
Matthias Hein
MedIm
141
0
0
02 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based
  Gaussian Descriptor for Imbalanced Tabular Data
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data
Priyanka Chudasama
Anil Surisetty
Aakarsh Malhotra
Alok Singh
82
0
0
02 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
61
0
0
30 Aug 2024
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via
  Generative Models
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models
Guangxi Li
Yinsheng Song
Mingkai Zheng
82
0
0
29 Aug 2024
Distilling Long-tailed Datasets
Distilling Long-tailed Datasets
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
121
3
0
24 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in
  Long-Tail Learning
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
155
0
0
20 Aug 2024
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
Yan Wu
Esther Wershof
Sebastian M. Schmon
Marcel Nassar
Błażej Osiński
Ridvan Eksi
Zichao Yan
Rory Stark
Kun Zhang
T. Graepel
61
9
0
20 Aug 2024
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Emanuele Caruso
Francesco Pelosin
Alessandro Simoni
Marco Boschetti
81
0
0
19 Aug 2024
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit
  Adjustment
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
80
2
0
19 Aug 2024
On the KL-Divergence-based Robust Satisficing Model
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan
Minglong Zhou
Jiayi Guo
67
0
0
17 Aug 2024
All-around Neural Collapse for Imbalanced Classification
All-around Neural Collapse for Imbalanced Classification
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
AI4CE
111
1
0
14 Aug 2024
Towards Holistic Disease Risk Prediction using Small Language Models
Towards Holistic Disease Risk Prediction using Small Language Models
Liv Bjorkdahl
Oskar Pauli
Johan Ostman
Chiara Ceccobello
Sara Lundell
Magnus Kjellberg
LM&MA
70
0
0
13 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
OODD
123
0
0
13 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data
  via Expert Collaborative Learning
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
94
0
0
04 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
123
9
0
01 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification
LADDER: Language Driven Slice Discovery and Error Rectification
Shantanu Ghosh
Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
83
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0
31 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
101
1
0
26 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical
  Research Question Answering
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Preslav Nakov
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
97
3
0
24 Jul 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of
  Class-Balanced Loss Functions
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
111
6
0
19 Jul 2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease
  Classification Tasks
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
Thao Hoang
Linh Nguyen
Khoi Do
Duong Nguyen
Viet Dung Nguyen
103
2
0
19 Jul 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning
LTRL: Boosting Long-tail Recognition via Reflective Learning
QiHao Zhao
Yalun Dai
Shen Lin
Wei Hu
Fan Zhang
Jun Liu
100
1
0
17 Jul 2024
Non-parametric regularization for class imbalance federated medical
  image classification
Non-parametric regularization for class imbalance federated medical image classification
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
90
0
0
17 Jul 2024
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based
  Action Recognition
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
Jiahang Zhang
Lilang Lin
Jiaying Liu
122
5
0
17 Jul 2024
Generalized Coverage for More Robust Low-Budget Active Learning
Generalized Coverage for More Robust Low-Budget Active Learning
Wonho Bae
Junhyug Noh
Danica J. Sutherland
138
4
0
16 Jul 2024
Learning Confidence Bounds for Classification with Imbalanced Data
Learning Confidence Bounds for Classification with Imbalanced Data
Matt Clifford
Jonathan Erskine
Alexander Hepburn
Raúl Santos-Rodríguez
Dario Garcia-Garcia
62
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0
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Adaptive Parametric Activation
Adaptive Parametric Activation
Konstantinos Panagiotis Alexandridis
Jiankang Deng
Anh Nguyen
Shan Luo
92
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How to Leverage Predictive Uncertainty Estimates for Reducing
  Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
96
2
0
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Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
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Kazi Sajeed Mehrab
M. Maruf
Arka Daw
Harish Babu Manogaran
Abhilash Neog
...
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Wasila Dahdul
Anuj Karpatne
Wasila M Dahdul
Anuj Karpatne
238
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Active Label Refinement for Robust Training of Imbalanced Medical Image
  Classification Tasks in the Presence of High Label Noise
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Bidur Khanal
Tianhong Dai
Binod Bhattarai
Cristian A. Linte
NoLa
93
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Read, Watch and Scream! Sound Generation from Text and Video
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Yujin Jeong
Yunji Kim
Sanghyuk Chun
Jiyoung Lee
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Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance
  for Robust Chest X-Ray Disease Classification
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Bhargava Satya
Rama Krishna Sai Subrahmanyam Gorthi
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