Multimodal Learning

Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract) AAAI 2023 Improving End-to-End SLU performance with Prosodic Attention and Distillation Interspeech 2023 Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data AAAI 2023 Improving Image Captioning via Predicting Structured Concepts EMNLP 2023 Improving Joint Speech-Text Representations Without Alignment Interspeech 2023 Improving Long Dialogue Summarization with Semantic Graph Representation ACL 2023 Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling ICML 2023 Improving multimodal datasets with image captioning NeurIPS 2023 Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation EMNLP 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Improving Speech Translation by Fusing Speech and Text EMNLP 2023 Improving the Cross-Lingual Generalisation in Visual Question Answering AAAI 2023 Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings EACL 2023 Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ACL 2023 Improving Vision-and-Language Navigation by Generating Future-View Image Semantics CVPR 2023 Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations CVPR 2023 Improving Zero-Shot Generalization and Robustness of Multi-Modal Models CVPR 2023 IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning EMNLP 2023 Incomplete Multimodality-Diffused Emotion Recognition NeurIPS 2023 In-Context Analogical Reasoning with Pre-Trained Language Models ACL 2023 In-context Learning for Few-shot Multimodal Named Entity Recognition EMNLP 2023 Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing EMNLP 2023 Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs EMNLP 2023 Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs EMNLP 2023