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Long-Tailed Partial Label Learning via Dynamic Rebalancing

Long-Tailed Partial Label Learning via Dynamic Rebalancing

International Conference on Learning Representations (ICLR), 2023
10 February 2023
Feng Hong
Jiangchao Yao
Zhihan Zhou
Ya Zhang
Yanfeng Wang
ArXiv (abs)PDFHTML

Papers citing "Long-Tailed Partial Label Learning via Dynamic Rebalancing"

19 / 19 papers shown
Title
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Feng Hong
Yu Huang
Zihua Zhao
Zhihan Zhou
Jiangchao Yao
Dongsheng Li
Y. Zhang
Y. Wang
168
2
0
09 Oct 2025
Tuning the Right Foundation Models is What you Need for Partial Label Learning
Kuang He
Wei Tang
Tong Wei
Min Zhang
VLM
250
2
0
05 Jun 2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li
Ruqi Zhang
879
0
0
23 Jan 2025
Long-Tailed Out-of-Distribution Detection via Normalized Outlier
  Distribution Adaptation
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Wenjun Miao
Guansong Pang
Jin Zheng
Xiao Bai
OODD
326
4
0
28 Oct 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image
  Classification
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image ClassificationACM Multimedia (MM), 2024
Yuxin Hong
Xiao Zhang
Xin Zhang
Joey Tianyi Zhou
363
8
0
09 Jun 2024
Diversified Batch Selection for Training Acceleration
Diversified Batch Selection for Training AccelerationInternational Conference on Machine Learning (ICML), 2024
Feng Hong
Yueming Lyu
Jiangchao Yao
Ya Zhang
Ivor W. Tsang
Yanfeng Wang
225
9
0
07 Jun 2024
Locally Estimated Global Perturbations are Better than Local
  Perturbations for Federated Sharpness-aware Minimization
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan
Shengchao Hu
Jiangchao Yao
Gang Niu
Ya Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
220
28
0
29 May 2024
Hyper Evidential Deep Learning to Quantify Composite Classification
  Uncertainty
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Changbin Li
Kangshuo Li
Yuzhe Ou
Lance M. Kaplan
A. Jøsang
Jin-Hee Cho
Dong Hyun. Jeong
Feng Chen
UQCVBDLEDL
229
6
0
17 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
182
9
0
01 Apr 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
159
5
0
27 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated
  Outlier Class Learning
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Wenjun Miao
Guansong Pang
Tianqi Li
Xiaolong Bai
Jingyi Zheng
OODD
333
24
0
17 Dec 2023
Combating Representation Learning Disparity with Geometric Harmonization
Combating Representation Learning Disparity with Geometric HarmonizationNeural Information Processing Systems (NeurIPS), 2023
Zhihan Zhou
Jiangchao Yao
Feng Hong
Ya Zhang
Bo Han
Yanfeng Wang
169
19
0
26 Oct 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust
  Long-Tailed Learning
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Lingling Li
OOD
223
9
0
16 Oct 2023
Robust Representation Learning for Unreliable Partial Label Learning
Robust Representation Learning for Unreliable Partial Label Learning
Yuge Shi
Dongze Wu
Xin Geng
Min-Ling Zhang
196
3
0
31 Aug 2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Feng Hong
Tianjie Dai
Jiangchao Yao
Ya Zhang
Yanfeng Wang
124
0
0
17 Aug 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual
  Recognition
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual RecognitionInternational Conference on Machine Learning (ICML), 2023
Boran Han
151
14
0
30 May 2023
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label
  Learning
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label LearningComputer Vision and Pattern Recognition (CVPR), 2023
Shiyun Tian
Jianguo Huang
Yiqun Wang
Lei Feng
278
9
0
18 Mar 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision
  Models
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
148
10
0
18 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Pseudo Labels Regularization for Imbalanced Partial-Label LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Mingyu Xu
Zheng Lian
137
1
0
06 Mar 2023
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