← Learning Types
Machine Learning › Learning Types ›

Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017
Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network IJCAI 2017
Alternative Approaches to Neural Network Based Speaker Verification INTERSPEECH 2017
Multi-Task Learning for Prosodic Structure Generation Using BLSTM RNN with Structured Output Layer INTERSPEECH 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning IJCNLP 2017
Steering Output Style and Topic in Neural Response Generation EMNLP 2017
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles EMNLP 2017
Predicting Users’ Negative Feedbacks in Multi-Turn Human-Computer Dialogues IJCNLP 2017
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification EMNLP 2017
Neural Architectures for Multilingual Semantic Parsing ACL 2017
YOLO9000: Better, Faster, Stronger CVPR 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017
Neural Architectures for Fine-grained Entity Type Classification EACL 2017
Effective shared representations with Multitask Learning for Community Question Answering EACL 2017
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences CVPR 2017
Learning to Parse and Translate Improves Neural Machine Translation ACL 2017
Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions INTERSPEECH 2017
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data ACL 2017
Deep Multitask Learning for Semantic Dependency Parsing ACL 2017
Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning INTERSPEECH 2017
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NIPS 2017