multimodal learning

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users CVPR 2024 Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024 Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training CoNLL 2024 Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering EMNLP 2024 Exploring the Potential of Dense Information in Multimodal Alignment ACL 2024 Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR EMNLP 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024 Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names IJCAI 2024 Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024 EACL 2024 Extending CLIP’s Image-Text Alignment to Referring Image Segmentation NAACL 2024 Extending Multi-modal Contrastive Representations NeurIPS 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze EMNLP 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Eye-Tracking Features Masking Transformer Attention in Question-Answering Tasks COLING 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 Faithful Chart Summarization with ChaTS-Pi ACL 2024 Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM CVPR 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NeurIPS 2024 Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language AAAI 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024