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Methodology
← Learning Types
Machine Learning
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Multi-Task Learning
2117 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 4
2009: 7
2010: 10
2011: 9
2012: 24
2013: 37
2014: 18
2015: 19
2016: 35
2017: 74
2018: 114
2019: 193
2020: 229
2021: 251
2022: 264
2023: 259
2024: 270
2025: 283
2026: 10
Papers
Variational Label Enhancement
ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
AACL 2020
Adaptive Adversarial Multi-task Representation Learning
ICML 2020
Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
AAAI 2020
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
AAAI 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020
Forgetting to Learn Logic Programs
AAAI 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
AAAI 2020
Adapting Stable Matchings to Evolving Preferences
AAAI 2020
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards
AAAI 2020
Predictive Student Modeling in Educational Games with Multi-Task Learning
AAAI 2020
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
CVPR 2020
On Identifying Hashtags in Disaster Twitter Data
AAAI 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
ICML 2020
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension
AAAI 2020
MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension
AAAI 2020
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
AAAI 2020
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
AAAI 2020
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features
AAAI 2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
AAAI 2020
Learning to Incorporate Structure Knowledge for Image Inpainting
AAAI 2020
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
AAAI 2020
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents
AAAI 2020
Hierarchical Graph Network for Multi-hop Question Answering
EMNLP 2020
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