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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
A Novel Strategy for Active Task Assignment in Crowd Labeling
IJCAI 2018
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks
IJCAI 2018
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings
COLING 2018
Nonparametric variable importance using an augmented neural network with multi-task learning
ICML 2018
Circular Chain Classifiers
PGM 2018
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
NAACL 2018
When does deep multi-task learning work for loosely related document classification tasks?
EMNLP 2018
Generating Topic-Oriented Summaries Using Neural Attention
NAACL 2018
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
NAACL 2018
Learning Joint Semantic Parsers from Disjoint Data
NAACL 2018
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
NAACL 2018
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
NAACL 2018
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
NAACL 2018
Multi-Source Domain Adaptation with Mixture of Experts
EMNLP 2018
Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision
NAACL 2018
Attentive Interaction Model: Modeling Changes in View in Argumentation
NAACL 2018
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
EMNLP 2018
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
NAACL 2018
Tied Multitask Learning for Neural Speech Translation
NAACL 2018
Adaptable replanning with compressed linear action models for learning from demonstrations
CORL 2018
Music Genre Recognition Using Deep Neural Networks and Transfer Learning
INTERSPEECH 2018
MCapsNet: Capsule Network for Text with Multi-Task Learning
EMNLP 2018
Multi-task Learning with Augmentation Strategy for Acoustic-to-word Attention-based Encoder-decoder Speech Recognition
INTERSPEECH 2018
Forward-Backward Attention Decoder
INTERSPEECH 2018
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
NIPS 2018
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