Contrastive Learning

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025 Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance ICML 2025 Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025 Enhancing Multimodal Affective Analysis with Learned Live Comment Features AAAI 2025 Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation NAACL 2025 Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025 Enhancing Multimodal Unified Representations for Cross Modal Generalization ACL 2025 Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation CVPR 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction NAACL 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning AAAI 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025 Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation CVPR 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning AAAI 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback COLING 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All EMNLP 2025 FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos ICCV 2025 FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis IJCAI 2025