← Core AI
Artificial Intelligence › Core AI ›

Multimodal Learning

13057 directly classified papers

Papers per year

Papers

Face Reconstruction from Voice using Generative Adversarial Networks NIPS 2019
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues IJCNLP 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling IJCNLP 2019
Adaptive Cross-Modal Few-shot Learning NIPS 2019
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NIPS 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks NIPS 2019
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents IJCNLP 2019
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation IJCNLP 2019
Generating Personalized Recipes from Historical User Preferences IJCNLP 2019
Connective Cognition Network for Directional Visual Commonsense Reasoning NIPS 2019
Policy Preference Detection in Parliamentary Debate Motions CONLL 2019
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation IJCNLP 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters NIPS 2019
Training Language GANs from Scratch NIPS 2019
Combining Generative and Discriminative Models for Hybrid Inference NIPS 2019
Multiple Futures Prediction NIPS 2019
Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence CONLL 2019
TUPA at MRP 2019: A Multi-Task Baseline System CONLL 2019
Engaging Image Captioning via Personality CVPR 2019
Hint-Based Training for Non-Autoregressive Machine Translation IJCNLP 2019
Context and Attribute Grounded Dense Captioning CVPR 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry CVPR 2019
Visual Question Answering as Reading Comprehension CVPR 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019
Cross-Modal Self-Attention Network for Referring Image Segmentation CVPR 2019