Imagen de Portada

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ding, Qijie, Zhang, Daokun, Yin, Jie
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
por: Ding, Qijie, et al.
Publicado: (2023)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
por: Wang, Yingxu, et al.
Publicado: (2025)

Hierarchical Multi-Marginal Optimal Transport for Network Alignment
por: Zeng, Zhichen, et al.
Publicado: (2023)

Learning from Noisy Labels for Long-tailed Data via Optimal Transport
por: Li, Mengting, et al.
Publicado: (2024)

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
por: Sun, Mingyang, et al.
Publicado: (2025)

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
por: Zhang, Shengtao, et al.
Publicado: (2025)

SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
por: Roschmann, Simon, et al.
Publicado: (2026)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
por: Wang, Zhiyu, et al.
Publicado: (2025)

Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
por: Dantas, Cassio F., et al.
Publicado: (2024)

COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing
por: Hu, Zhiwei, et al.
Publicado: (2024)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
por: Tan, Jiayao, et al.
Publicado: (2024)

When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
por: Xia, Riting, et al.
Publicado: (2025)

Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis
por: Cai, Wang, et al.
Publicado: (2026)

Conflict-Aware Adversarial Training
por: Xue, Zhiyu, et al.
Publicado: (2024)

Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching
por: Qu, Yunni, et al.
Publicado: (2024)

Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport
por: Shah, Shaan, et al.
Publicado: (2025)

Computing Approximate Graph Edit Distance via Optimal Transport
por: Cheng, Qihao, et al.
Publicado: (2024)

Joint Optimal Transport and Embedding for Network Alignment
por: Yu, Qi, et al.
Publicado: (2025)

Counterfactual Identifiability via Dynamic Optimal Transport
por: Ribeiro, Fabio De Sousa, et al.
Publicado: (2025)

Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
por: Barker, Charmaine, et al.
Publicado: (2025)

Displacement-Sparse Neural Optimal Transport
por: Chen, Peter, et al.
Publicado: (2025)

A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning
por: Liu, Jinshi, et al.
Publicado: (2026)

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
por: Tian, Shiyu, et al.
Publicado: (2023)

Supervised Distributional Reduction via Optimal Transport and Dependence Maximization
por: Ramesh, Sai-Aakash, et al.
Publicado: (2026)

Reward-free Alignment for Conflicting Objectives
por: Chen, Peter, et al.
Publicado: (2026)

CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
por: Zhang, Qi, et al.
Publicado: (2024)

Expectation Maximization Pseudo Labels
por: Xu, Moucheng, et al.
Publicado: (2023)

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
por: Zhang, Rui, et al.
Publicado: (2026)

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
por: Zou, Mingxi, et al.
Publicado: (2026)

Variance-Bounded Evaluation of Entity-Centric AI Systems Without Ground Truth: Theory and Measurement
por: Ding, Kaihua
Publicado: (2025)

FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
por: Ye, Felix X. -F., et al.
Publicado: (2026)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
por: Wang, Zhanpeng, et al.
Publicado: (2024)

Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport
por: Naumann, Philip, et al.
Publicado: (2026)

Align Your Intents: Offline Imitation Learning via Optimal Transport
por: Bobrin, Maksim, et al.
Publicado: (2024)

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction
por: Chang, Jonathn, et al.
Publicado: (2026)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2025)

Cross-Domain Imitation Learning via Optimal Transport
por: Fickinger, Arnaud, et al.
Publicado: (2021)

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
por: Ding, Mucong, et al.
Publicado: (2024)

CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
por: Yang, Zongzhen, et al.
Publicado: (2025)

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
por: Li, Zhuo, et al.
Publicado: (2025)