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multi-task learning

2575 papers

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MTL

Co-occurring keywords

transfer learning (5449) text classification (6793) representation learning (6206) neural network (6616) named entity recognition (2813) large language model (13587) domain adaptation (4595) knowledge distillation (3725) attention mechanism (4001) sentiment analysis (2084)

Papers

Automatic Identification of 5C Vaccine Behaviour on Social Media COLING 2022
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition ACL 2022
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method CVPR 2022
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning INTERSPEECH 2022
LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking NAACL 2022
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning NAACL 2022
Constrained Multi-Task Learning for Bridging Resolution ACL 2022
Findings of the Shared Task on Multi-task Learning in Dravidian Languages ACL 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning NIPS 2022
Automated Chinese Essay Scoring from Multiple Traits COLING 2022
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity EMNLP 2022
On Privacy and Personalization in Cross-Silo Federated Learning NIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT NAACL 2022
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations NIPS 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 EMNLP 2022
Toward Building a Language Model for Understanding Temporal Commonsense IJCNLP 2022
MIC: A Multi-task Interactive Curation Tool EMNLP 2022
Combinatory Grammar Tells Underlying Relevance among Entities EMNLP 2022
Association Graph Learning for Multi-Task Classification with Category Shifts NIPS 2022
Active Learning for Multiple Target Models NIPS 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation CVPR 2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022