contrastive learning

Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025 Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025 Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training ICCV 2025 Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding AAAI 2025 Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation ICCV 2025 Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning MLHC 2025 BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM Interspeech 2025 Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training IJCAI 2025 Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment EMNLP 2025 Bridging the Gap for Test-Time Multimodal Sentiment Analysis AAAI 2025 Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis CVPR 2025 CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction COLING 2025 Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning ICLR 2025 Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025 Can Text-to-Video Generation help Video-Language Alignment? CVPR 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels MIDL 2025 CATALOG: A Camera Trap Language-Guided Contrastive Learning Model WACV 2025 CATE Estimation With Potential Outcome Imputation From Local Regression UAI 2025 CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems EMNLP 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning ICML 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025