multimodal contrastive learning

Hyperbolic Gramian Volumes for Multimodal Alignment CVPR 2026 TAMER: A Tri-Modal Contrastive Alignment and Multi-Scale Embedding Refinement Framework for Zero-Shot ECG Diagnosis CVPR 2026 Thinking Aesthetics Assessment of Image Color Temperature: Models, Datasets and Benchmarks AAAI 2026 TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection AAAI 2026 A Generalization Theory for Zero-Shot Prediction ICML 2025 EEGMirror: Leveraging EEG Data in the Wild via Montage-Agnostic Self-Supervision for EEG to Video Decoding ICCV 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation AAAI 2025 In vivo cell-type and brain region classification via multimodal contrastive learning ICLR 2025 Multimodal Fusion and Coherence Modeling for Video Topic Segmentation ACL 2025 PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology EMNLP 2025 Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric ICLR 2025 BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning CVPR 2024 CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NeurIPS 2024 Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data ICLR 2024 Data curation via joint example selection further accelerates multimodal learning NeurIPS 2024 Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation IJCAI 2024 Learning Spatially-Aware Language and Audio Embeddings NeurIPS 2024 Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024 On the Comparison between Multi-modal and Single-modal Contrastive Learning NeurIPS 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 Understanding Dark Scenes by Contrasting Multi-Modal Observations WACV 2024 Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift ICLR 2024 Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity NeurIPS 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning ICCV 2023