Multi-Task Learning

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images CVPR 2019 Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization CVPR 2019 Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019 Compositional Semantic Parsing across Graphbanks ACL 2019 Context and Attribute Grounded Dense Captioning CVPR 2019 Controlling Text Complexity in Neural Machine Translation EMNLP 2019 Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing CVPR 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation CVPR 2019 Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019 DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature EMNLP 2019 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019 Dense Node Representation for Geolocation EMNLP 2019 Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning CVPR 2019 Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection EMNLP 2019 Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019 Efficient Lifelong Learning with A-GEM ICLR 2019 ELI5: Long Form Question Answering ACL 2019 End-To-End Multi-Task Learning With Attention CVPR 2019 Enhanced Transformer Model for Data-to-Text Generation EMNLP 2019 Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Exploring Human-Like Reading Strategy for Abstractive Text Summarization AAAI 2019