Poster "class imbalance" Papers

23 papers found

Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation

Xin Ma, Yifan Wang, Siyu Yi et al.

NEURIPS 2025

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation

Maregu Assefa, Muzammal Naseer, IYYAKUTTI IYAPPAN GANAPATHI et al.

CVPR 2025arXiv:2504.04566
8
citations

Fractal Calibration for Long-tailed Object Detection

Konstantinos Alexandridis, Ismail Elezi, Jiankang Deng et al.

CVPR 2025arXiv:2410.11774
5
citations

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions

Lingjie Yi, Michael Yao, Weimin Lyu et al.

ICLR 2025
2
citations

Improved Balanced Classification with Theoretically Grounded Loss Functions

Corinna Cortes, Mehryar Mohri, Yutao Zhong

NEURIPS 2025arXiv:2512.23947
5
citations

Learning Dense Hand Contact Estimation from Imbalanced Data

Daniel Jung, Kyoung Mu Lee

NEURIPS 2025arXiv:2505.11152
2
citations

LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups

Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.

NEURIPS 2025arXiv:2511.10683
1
citations

Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation

Byunghyun Kim, Minyoung Bae, Jae-Gil Lee

NEURIPS 2025

SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark

Bin Cao, Yang Liu, Zinan Zheng et al.

ICLR 2025
6
citations

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining

Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar

NEURIPS 2025arXiv:2506.20025
1
citations

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

NEURIPS 2025

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation

ChenChen Zong, Ye-Wen Wang, Kun-Peng Ning et al.

ECCV 2024arXiv:2402.15198
6
citations

Class-Imbalanced Graph Learning without Class Rebalancing

Zhining Liu, Ruizhong Qiu, Zhichen Zeng et al.

ICML 2024arXiv:2308.14181
31
citations

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang et al.

ICML 2024

DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

Harsh Rangwani, Pradipto Mondal, Mayank Mishra et al.

CVPR 2024arXiv:2404.02900
18
citations

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

Sanghyun Jo, Fei Pan, In-Jae Yu et al.

ECCV 2024arXiv:2404.00380
6
citations

Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation

Wenbo Qi, Jiafei Wu, S. C. Chan

ECCV 2024
7
citations

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Jiang-Xin Shi, Tong Wei, Zhi Zhou et al.

ICML 2024arXiv:2309.10019
66
citations

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch

Taemin Park, Hyuck Lee, Heeyoung Kim

ECCV 2024
1
citations

Restoring balance: principled under/oversampling of data for optimal classification

Emanuele Loffredo, Mauro Pastore, Simona Cocco et al.

ICML 2024arXiv:2405.09535
13
citations

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

Jiawei Han, Kaiqi Liu, Wei Li et al.

ECCV 2024arXiv:2408.10537
11
citations

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning

Zhe Zhao, Pengkun Wang, HaiBin Wen et al.

ICML 2024

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim et al.

ICML 2024arXiv:2306.15217
1
citations