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A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment
  for Imbalanced Learning

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning

7 October 2023
Zitai Wang
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
ArXivPDFHTML

Papers citing "A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning"

22 / 22 papers shown
Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
56
0
0
03 May 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples
Hansung Choi
Daewon Seo
41
0
0
24 Feb 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Minseok Son
Inyong Koo
Jinyoung Park
Changick Kim
71
0
0
20 Dec 2024
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise
  SAM
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM
Xingyu Lyu
Qianqian Xu
Zhiyong Yang
Shaojie Lyu
Qingming Huang
72
0
0
18 Dec 2024
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
76
0
0
17 Dec 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
24
1
0
21 Oct 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf
  Generation Techniques
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
Benyuan Meng
Qianqian Xu
Zitai Wang
Zhiyong Yang
Xiaochun Cao
Qingming Huang
21
0
0
09 Oct 2024
Not All Diffusion Model Activations Have Been Evaluated as
  Discriminative Features
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
Benyuan Meng
Qianqian Xu
Zitai Wang
Xiaochun Cao
Qingming Huang
32
1
0
04 Oct 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Boyu Han
Qianqian Xu
Zhiyong Yang
Shilong Bao
Peisong Wen
Yangbangyan Jiang
Qingming Huang
26
2
0
30 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
34
0
0
26 Sep 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large
  Language Models
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
Yuji Zhang
Sha Li
Jiateng Liu
Pengfei Yu
Yi Ren Fung
Jing Li
Manling Li
Heng Ji
29
10
0
10 Jul 2024
LLMs Could Autonomously Learn Without External Supervision
LLMs Could Autonomously Learn Without External Supervision
Ke Ji
Junying Chen
Anningzhe Gao
Wenya Xie
Xiang Wan
Benyou Wang
29
4
0
02 Jun 2024
IM-Context: In-Context Learning for Imbalanced Regression Tasks
IM-Context: In-Context Learning for Imbalanced Regression Tasks
Ismail Nejjar
Faez Ahmed
Olga Fink
27
1
0
28 May 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning
  and Logit Distillation
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation
Yuting Ma
Lechao Cheng
Yaxiong Wang
Zhun Zhong
Xiaohua Xu
Meng Wang
FedML
32
4
0
27 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He
Lijian Li
26
0
0
23 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic
  Long-tail Recognition
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang
Qianqian Xu
Zitai Wang
Sicong Li
Boyu Han
Shilong Bao
Xiaochun Cao
Qingming Huang
26
7
0
13 May 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
Jie Shao
Ke Zhu
Hanxiao Zhang
Jianxin Wu
33
4
0
08 Mar 2024
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
159
549
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
239
456
0
11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
243
782
0
05 Dec 2019
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,244
0
09 Jun 2011
1