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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

Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation CORL 2018
IntentNet: Learning to Predict Intention from Raw Sensor Data CORL 2018
Neural Multitask Learning for Simile Recognition EMNLP 2018
Joint Learning for Emotion Classification and Emotion Cause Detection EMNLP 2018
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification EMNLP 2018
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction EMNLP 2018
Entity Tracking Improves Cloze-style Reading Comprehension EMNLP 2018
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension EMNLP 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling EMNLP 2018
Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning MLHC 2018
Taskonomy: Disentangling Task Transfer Learning CVPR 2018
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning IJCAI 2018
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning JMLR 2018
Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image CVPR 2017
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking CVPR 2017
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences CVPR 2017
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks ACML 2017
Learning Neural Representations of Human Cognition across Many fMRI Studies NIPS 2017
End-To-End 3D Face Reconstruction With Deep Neural Networks CVPR 2017
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN IJCAI 2017
Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017
Adversarial Multi-task Learning for Text Classification ACL 2017
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification EMNLP 2017
Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions INTERSPEECH 2017