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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
Towards Comprehensive Description Generation from Factual Attribute-value Tables
ACL 2019
Online-Within-Online Meta-Learning
NIPS 2019
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
ACL 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NIPS 2019
SPARSE: Structured Prediction using Argument-Relative Structured Encoding
NAACL 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
NIPS 2019
Structural Scaffolds for Citation Intent Classification in Scientific Publications
NAACL 2019
Pareto Multi-Task Learning
NIPS 2019
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
NAACL 2019
Learning to Perform Local Rewriting for Combinatorial Optimization
NIPS 2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
NIPS 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
NAACL 2019
Bayesian Learning for Neural Dependency Parsing
NAACL 2019
Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN
INTERSPEECH 2019
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
IJCAI 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NIPS 2019
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
NIPS 2019
Multi-Task Learning for Japanese Predicate Argument Structure Analysis
NAACL 2019
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
NAACL 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
NAACL 2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
EMNLP 2019
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
NAACL 2019
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
NAACL 2019
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
NAACL 2019
Neural Multi-Task Learning for Stance Prediction
EMNLP 2019
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