Image de couverture de livre

Multi-Instance Partial-Label Learning with Margin Adjustment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tang, Wei, Yang, Yin-Fang, Wang, Zhaofei, Zhang, Weijia, Zhang, Min-Ling
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
par: Tang, Wei, et autres
Publié: (2025)

Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
par: Tang, Wei, et autres
Publié: (2024)

Tuning the Right Foundation Models is What you Need for Partial Label Learning
par: He, Kuang, et autres
Publié: (2025)

Realistic Evaluation of Deep Partial-Label Learning Algorithms
par: Wang, Wei, et autres
Publié: (2025)

From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification
par: Liu, Xin, et autres
Publié: (2024)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
par: Zhao, Rui, et autres
Publié: (2026)

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
par: Yang, Fuchao, et autres
Publié: (2024)

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
par: Chen, Yu, et autres
Publié: (2026)

Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
par: Tang, Wei, et autres
Publié: (2025)

Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
par: Qiao, Congyu, et autres
Publié: (2024)

Weakly-Supervised Contrastive Learning for Imprecise Class Labels
par: Zhou, Zi-Hao, et autres
Publié: (2025)

Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning
par: Si, Chongjie, et autres
Publié: (2025)

HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
par: Liu, Xin, et autres
Publié: (2024)

Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning
par: Chen, Yu, et autres
Publié: (2026)

Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning
par: Si, Chongjie, et autres
Publié: (2023)

Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
par: Zhao, Haifeng, et autres
Publié: (2024)

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
par: Gao, Wanfu, et autres
Publié: (2025)

Learning Causal Transition Matrix for Instance-dependent Label Noise
par: Li, Jiahui, et autres
Publié: (2024)

Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
par: Li, Zeju, et autres
Publié: (2024)

Partial Label Clustering
par: Xie, Yutong, et autres
Publié: (2025)

Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
par: Zhao, Shiman, et autres
Publié: (2025)

Learning from Label Proportions and Covariate-shifted Instances
par: Singh, Sagalpreet, et autres
Publié: (2024)

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
par: Zhang, Yan, et autres
Publié: (2024)

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
par: Zhang, Weijia, et autres
Publié: (2023)

Federated Learning with Instance-Dependent Noisy Label
par: Wang, Lei, et autres
Publié: (2023)

Complementary to Multiple Labels: A Correlation-Aware Correction Approach
par: Gao, Yi, et autres
Publié: (2023)

Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise
par: Shi, Yuanjie, et autres
Publié: (2026)

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
par: Tian, Shiyu, et autres
Publié: (2023)

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
par: Luo, Mao-Lin, et autres
Publié: (2025)

MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference
par: Chu, Kexin, et autres
Publié: (2026)

Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels
par: Zhao, Yaqi, et autres
Publié: (2026)

Multi-task Meta Label Correction for Time Series Prediction
par: Yang, Luxuan, et autres
Publié: (2023)

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
par: Xu, Minghao, et autres
Publié: (2024)

Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
par: Rahmani, Sana, et autres
Publié: (2025)

Partial-Label Learning with Conformal Candidate Cleaning
par: Fuchs, Tobias, et autres
Publié: (2025)

Diffusion Disambiguation Models for Partial Label Learning
par: Fan, Jinfu, et autres
Publié: (2025)

Partial-Label Learning with a Reject Option
par: Fuchs, Tobias, et autres
Publié: (2024)

From Ambiguity to Action: A POMDP Perspective on Partial Multi-Label Ambiguity and Its Horizon-One Resolution
par: Pan, Hanlin, et autres
Publié: (2026)

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
par: Yu, Simon, et autres
Publié: (2023)

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
par: Zhang, Kuan, et autres
Publié: (2025)