"long-tailed learning" Papers
11 papers found
Conference
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou, Yuheng Jia
ICML 2025arXiv:2505.16341
2
citations
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
Efthymia Tsamoura, Kaifu Wang, Dan Roth
NEURIPS 2025arXiv:2407.10000
1
citations
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou, Bo Han, Yuheng Jia et al.
NEURIPS 2025arXiv:2510.03993
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
Hongwei Wen, Annika Betken, Hanyuan Hang
ICLR 2025
1
citations
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
NEURIPS 2025oral
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
Chiao-An Yang, Kuan-Chuan Peng, Raymond A. Yeh
ICCV 2025arXiv:2507.16946
Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu, Chengxiang Fan, Hao Chen et al.
ICML 2024arXiv:2406.02435
8
citations
Long-Tailed Learning as Multi-Objective Optimization
Weiqi Li, Fan Lyu, Fanhua Shang et al.
AAAI 2024paperarXiv:2310.20490
5
citations
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du, Yizeng Han, Gao Huang
ICML 2024arXiv:2402.13505
14
citations
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma, Ismail Elezi, Jiankang Deng et al.
AAAI 2024paperarXiv:2312.15702
16
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