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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

Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information CONLL 2017
Exploring the Syntactic Abilities of RNNs with Multi-task Learning CONLL 2017
Improving Facial Attribute Prediction Using Semantic Segmentation CVPR 2017
Multi-Task Correlation Particle Filter for Robust Object Tracking CVPR 2017
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder IJCNLP 2017
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning EMNLP 2017
AccGenSVM: Selectively Transferring from Previous Hypotheses IJCAI 2017
Deep Automated Multi-task Learning IJCNLP 2017
Multilingual Hierarchical Attention Networks for Document Classification IJCNLP 2017
i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification INTERSPEECH 2017
Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning INTERSPEECH 2017
Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning INTERSPEECH 2017
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network IJCNLP 2017
Attention-Based LSTM with Multi-Task Learning for Distant Speech Recognition INTERSPEECH 2017
Multi-Task Learning for Mispronunciation Detection on Singapore Children’s Mandarin Speech INTERSPEECH 2017
Self-Paced Multitask Learning with Shared Knowledge IJCAI 2017
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning IJCAI 2017
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks INTERSPEECH 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Multi-Task Learning Using Mismatched Transcription for Under-Resourced Speech Recognition INTERSPEECH 2017
Empirical Exploration of Novel Architectures and Objectives for Language Models INTERSPEECH 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion INTERSPEECH 2017
Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017