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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning COLING 2024
Interpretable Short Video Rumor Detection Based on Modality Tampering COLING 2024
Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024
Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module COLING 2024
HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering COLING 2024
Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition COLING 2024
Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning COLING 2024
Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts COLING 2024
Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling COLING 2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation COLING 2024
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite COLING 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting COLING 2024
“Barking up the Right Tree”, a GAN-Based Pun Generation Model through Semantic Pruning COLING 2024
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval IJCAI 2024
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction IJCAI 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024
Urban Region Embedding via Multi-View Contrastive Prediction AAAI 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
Cross-Domain Contrastive Learning for Time Series Clustering AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024