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Adjusting Decision Boundary for Class Imbalanced Learning

Adjusting Decision Boundary for Class Imbalanced Learning

4 December 2019
Byungju Kim
Junmo Kim
ArXivPDFHTML

Papers citing "Adjusting Decision Boundary for Class Imbalanced Learning"

15 / 15 papers shown
Title
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
56
1
0
24 Mar 2025
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
36
0
0
26 Sep 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance
  from Generalized Few-shot Segmentation
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang
Ruixun Liu
Kaiyu Li
Jiawei Jiang
Xiangyong Cao
35
2
0
08 Apr 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
82
2
0
23 Nov 2023
Understanding CNN Fragility When Learning With Imbalanced Data
Understanding CNN Fragility When Learning With Imbalanced Data
Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh V. Chawla
24
39
0
17 Oct 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
40
9
0
11 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
10
140
0
01 Sep 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
27
22
0
22 Jul 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
14
67
0
04 Jan 2022
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
21
48
0
19 Apr 2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial Robustness under Long-Tailed Distribution
Tong Wu
Ziwei Liu
Qingqiu Huang
Yu Wang
Dahua Lin
18
76
0
06 Apr 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
27
93
0
02 Mar 2021
Long-tail learning via logit adjustment
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
65
683
0
14 Jul 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
24
99
0
06 Jan 2020
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
234
446
0
28 Nov 2016
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