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← Core Methods
Machine Learning
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Core Methods
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Multi-Task Learning
210 directly classified papers
Papers per year
2008: 1
2009: 2
2011: 3
2012: 5
2013: 9
2014: 6
2015: 4
2016: 7
2017: 2
2018: 10
2019: 13
2020: 21
2021: 23
2022: 25
2023: 25
2024: 25
2025: 27
2026: 2
Papers
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
NIPS 2012
Part & Clamp: Efficient Structured Output Learning
AISTATS 2012
Bayesian models for Large-scale Hierarchical Classification
NIPS 2012
Infinite Latent SVM for Classification and Multi-task Learning
NIPS 2011
Online Learning of Multiple Tasks and Their Relationships
AISTATS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization
NIPS 2011
Asymptotically Optimal Regularization in Smooth Parametric Models
NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning
NIPS 2009
Clustered Multi-Task Learning: A Convex Formulation
NIPS 2008
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