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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

Multi-Task Self-Training for Learning General Representations ICCV 2021
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network ICCV 2021
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract) AAAI 2021
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts AAAI 2021
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations CVPR 2021
Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021
Single-dataset Experts for Multi-dataset Question Answering EMNLP 2021
N-LTP: An Open-source Neural Language Technology Platform for Chinese EMNLP 2021
Suboptimal coverings for continuous spaces of control tasks L4DC 2021
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling EMNLP 2021
Multi-Task Neural Network for Robust Multiple Speaker Embedding Extraction INTERSPEECH 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning EMNLP 2021
Task Programming: Learning Data Efficient Behavior Representations CVPR 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation EMNLP 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data EMNLP 2021
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding ACL 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
Multi-Task Reinforcement Learning with Context-based Representations ICML 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021
The Logical Options Framework ICML 2021