Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yan, Wu, Guoqiang, Wang, Bingzheng, Pang, Teng, Sun, Haoliang, Yin, Yilong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Classifier-Driven Reward for Offline Preference-based Reinforcement Learning
by: Pang, Teng, et al.
Published: (2025)
by: Pang, Teng, et al.
Published: (2025)
Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
by: Pang, Teng, et al.
Published: (2026)
by: Pang, Teng, et al.
Published: (2026)
Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels
by: Zhao, Yaqi, et al.
Published: (2026)
by: Zhao, Yaqi, et al.
Published: (2026)
Variational Rectification Inference for Learning with Noisy Labels
by: Sun, Haoliang, et al.
Published: (2026)
by: Sun, Haoliang, et al.
Published: (2026)
Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation
by: Xu, Rongjian, et al.
Published: (2026)
by: Xu, Rongjian, et al.
Published: (2026)
Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning
by: Dong, Zhiqiang, et al.
Published: (2026)
by: Dong, Zhiqiang, et al.
Published: (2026)
Riemannian MeanFlow for One-Step Generation on Manifolds
by: Zhong, Zichen, et al.
Published: (2026)
by: Zhong, Zichen, et al.
Published: (2026)
Preserving AUC Fairness in Learning with Noisy Protected Groups
by: Wu, Mingyang, et al.
Published: (2025)
by: Wu, Mingyang, et al.
Published: (2025)
EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels
by: Zheng, Yuxiang, et al.
Published: (2024)
by: Zheng, Yuxiang, et al.
Published: (2024)
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
by: Mishra, Sourav, et al.
Published: (2024)
by: Mishra, Sourav, et al.
Published: (2024)
Evolutionary Multitasking AUC Optimization
by: Wang, Chao, et al.
Published: (2022)
by: Wang, Chao, et al.
Published: (2022)
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)
by: Yin, Jun, et al.
Published: (2026)
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
by: Hong, Chenxing, et al.
Published: (2024)
by: Hong, Chenxing, et al.
Published: (2024)
Federated Compositional Deep AUC Maximization
by: Zhang, Xinwen, et al.
Published: (2023)
by: Zhang, Xinwen, et al.
Published: (2023)
Catch Causal Signals from Edges for Label Imbalance in Graph Classification
by: Zhang, Fengrui, et al.
Published: (2025)
by: Zhang, Fengrui, et al.
Published: (2025)
Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data
by: Shao, Xiao, et al.
Published: (2025)
by: Shao, Xiao, et al.
Published: (2025)
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
by: Hua, Cong, et al.
Published: (2025)
by: Hua, Cong, et al.
Published: (2025)
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
by: Xie, Zheng, et al.
Published: (2023)
by: Xie, Zheng, et al.
Published: (2023)
Multi-Instance Partial-Label Learning with Margin Adjustment
by: Tang, Wei, et al.
Published: (2025)
by: Tang, Wei, et al.
Published: (2025)
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
by: Han, Boyu, et al.
Published: (2024)
by: Han, Boyu, et al.
Published: (2024)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
by: Li, Zeju, et al.
Published: (2024)
by: Li, Zeju, et al.
Published: (2024)
Class-Imbalanced Complementary-Label Learning via Weighted Loss
by: Wei, Meng, et al.
Published: (2022)
by: Wei, Meng, et al.
Published: (2022)
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
by: Ma, Rongrong, et al.
Published: (2024)
by: Ma, Rongrong, et al.
Published: (2024)
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
by: Shi, Wentao, et al.
Published: (2024)
by: Shi, Wentao, et al.
Published: (2024)
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
by: Xia, Riting, et al.
Published: (2025)
by: Xia, Riting, et al.
Published: (2025)
How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse
by: Ma, Xiaoxuan, et al.
Published: (2026)
by: Ma, Xiaoxuan, et al.
Published: (2026)
A Comprehensive Survey on Imbalanced Data Learning
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
by: Liang, Daojun, et al.
Published: (2024)
by: Liang, Daojun, et al.
Published: (2024)
Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2025)
by: Tang, Wei, et al.
Published: (2025)
CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation
by: Zhang, Zhengzhe, et al.
Published: (2025)
by: Zhang, Zhengzhe, et al.
Published: (2025)
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation
by: Sun, Hui, et al.
Published: (2026)
by: Sun, Hui, et al.
Published: (2026)
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
by: Wang, Xinrui, et al.
Published: (2025)
by: Wang, Xinrui, et al.
Published: (2025)
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
by: Baker, Ryan S., et al.
Published: (2024)
by: Baker, Ryan S., et al.
Published: (2024)
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
by: Tao, Zelin, et al.
Published: (2025)
by: Tao, Zelin, et al.
Published: (2025)
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
by: Gu, Hankang, et al.
Published: (2025)
by: Gu, Hankang, et al.
Published: (2025)
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
by: Pu, Ruizhi, et al.
Published: (2024)
by: Pu, Ruizhi, et al.
Published: (2024)
Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptation
by: Cui, Chaoran, et al.
Published: (2024)
by: Cui, Chaoran, et al.
Published: (2024)
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
by: Sang, Kyle, et al.
Published: (2024)
by: Sang, Kyle, et al.
Published: (2024)
Similar Items
-
Diffusion Classifier-Driven Reward for Offline Preference-based Reinforcement Learning
by: Pang, Teng, et al.
Published: (2025) -
Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
by: Pang, Teng, et al.
Published: (2026) -
Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels
by: Zhao, Yaqi, et al.
Published: (2026) -
Variational Rectification Inference for Learning with Noisy Labels
by: Sun, Haoliang, et al.
Published: (2026) -
Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation
by: Xu, Rongjian, et al.
Published: (2026)