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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning COLING 2025
AIDER: a Robust and Topic-Independent Framework for Detecting AI-Generated Text COLING 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025
CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction COLING 2025
A Novel Negative Sample Generation Method for Contrastive Learning in Hierarchical Text Classification COLING 2025
SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation ICCV 2025
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy COLING 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 2025
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression AAAI 2025
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels AAAI 2025
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering AAAI 2025
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025
Hierarchical Consensus Network for Multiview Feature Learning AAAI 2025
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks AAAI 2025
Graph Structure Refinement with Energy-based Contrastive Learning AAAI 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant” AAAI 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025
Class Semantic Attribute Perception Guided Zero-Shot Learning AAAI 2025
Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning COLING 2025