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multi-task learning

2556 papers

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Also known as

MTL MTTL MTLN

Co-occurring keywords

transfer learning (5442) text classification (6776) representation learning (6174) neural network (6616) named entity recognition (2801) large language model (12755) domain adaptation (4578) knowledge distillation (3680) attention mechanism (3975) sentiment analysis (2079)

Papers

Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning AAAI 2019
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models AAAI 2019
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection IJCNLP 2019
Multi-Task Stance Detection with Sentiment and Stance Lexicons IJCNLP 2019
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection IJCNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis IJCNLP 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks IJCNLP 2019
Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019
End-To-End Multi-Task Learning With Attention CVPR 2019
NetTailor: Tuning the Architecture, Not Just the Weights CVPR 2019
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach CVPR 2019
GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach SEMEVAL 2019
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation CVPR 2019
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations CVPR 2019
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos CVPR 2019
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection CVPR 2019
Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation IJCAI 2019
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification SEMEVAL 2019
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019
Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CONLL 2019
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning CVPR 2019