Multi-Task Learning

A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion Interspeech 2017 Attention-Based LSTM with Multi-Task Learning for Distant Speech Recognition Interspeech 2017 Binary Linear Compression for Multi-label Classification IJCAI 2017 Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017 Collaborative Partitioning for Coreference Resolution CoNLL 2017 Consistent Multitask Learning with Nonlinear Output Relations NeurIPS 2017 Creating POS Tagging and Dependency Parsing Experts via Topic Modeling EACL 2017 CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles EMNLP 2017 Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions Interspeech 2017 Deep Automated Multi-task Learning IJCNLP 2017 Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NeurIPS 2017 Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017 Deep Multitask Learning for Semantic Dependency Parsing ACL 2017 Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition IJCAI 2017 Discrete Duration Model for Speech Synthesis Interspeech 2017 Distral: Robust multitask reinforcement learning NeurIPS 2017 Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017 Dual Supervised Learning ICML 2017 Dynamic Multi-Task Learning with Convolutional Neural Network IJCAI 2017 Effective shared representations with Multitask Learning for Community Question Answering EACL 2017 Empirical Exploration of Novel Architectures and Objectives for Language Models Interspeech 2017 End-to-End Learning of Semantic Grasping CoRL 2017 End-to-end Relation Extraction using Neural Networks and Markov Logic Networks EACL 2017 English Multiword Expression-aware Dependency Parsing Including Named Entities ACL 2017 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017