← Learning Types
Deep Learning › Learning Types ›

Multi-Modal Learning

3194 directly classified papers

Papers per year

Papers

An End-To-End Network for Generating Social Relationship Graphs CVPR 2019
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019
Weakly Supervised Video Moment Retrieval From Text Queries CVPR 2019
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) ACL 2019
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding ACL 2019
Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource Languages EMNLP 2019
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis EMNLP 2019
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations EMNLP 2019
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis AAAI 2019
Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer AAAI 2019
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences AAAI 2019
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts ACL 2019
Situational Fusion of Visual Representation for Visual Navigation ICCV 2019
Factor Graph Attention CVPR 2019
Information Maximizing Visual Question Generation CVPR 2019
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering CVPR 2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering CVPR 2019
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval CVPR 2019
2.5D Visual Sound CVPR 2019
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading AAAI 2019
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 2019
Hashtag Recommendation for Photo Sharing Services AAAI 2019
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information ACL 2019
Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention INTERSPEECH 2019