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conftrace_

cross-view contrastive learning

4 papers

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contrastive learning (3) local refinement (1) global realignment (1) incomplete multi-view (1) zero-shot anomaly detection (1) graph neural network (1) cross-modal knowledge distillation (1) medical data (1) incomplete multi-view clustering (1) graph convolutional network (1)

Papers

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment IJCAI 2025 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NeurIPS 2024 Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment CVPR 2023