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Machine Learning
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Multi-Task Learning
519 directly classified papers
Papers per year
2005: 3
2006: 3
2007: 5
2008: 2
2009: 2
2010: 11
2011: 5
2012: 9
2013: 17
2014: 6
2015: 12
2016: 18
2017: 32
2018: 36
2019: 44
2020: 53
2021: 50
2022: 56
2023: 58
2024: 41
2025: 53
2026: 3
Papers
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition
IJCNLP 2017
Multitask Principal Component Analysis
ACML 2016
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
COLING 2016
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding
INTERSPEECH 2016
Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis
INTERSPEECH 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions
INTERSPEECH 2016
Multi-step learning and underlying structure in statistical models
NIPS 2016
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
JMLR 2016
Learning Taxonomy Adaptation in Large-scale Classification
JMLR 2016
Multiplicative Multitask Feature Learning
JMLR 2016
Multi-view and multi-task training of RST discourse parsers
COLING 2016
A Unified Architecture for Semantic Role Labeling and Relation Classification
COLING 2016
Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach
JMLR 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models
JMLR 2016
A Bayesian Nonparametric Approach for Multi-label Classification
ACML 2016
Random Fourier Features For Operator-Valued Kernels
ACML 2016
New Perspectives on k-Support and Cluster Norms
JMLR 2016
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
ICML 2016
Minimum Regret Search for Single- and Multi-Task Optimization
ICML 2016
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling
AISTATS 2015
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
ICML 2015
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach
ICCV 2015
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning
ICCV 2015
Learning to Divide and Conquer for Online Multi-Target Tracking
ICCV 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
NIPS 2015
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