A Survey on Multi-Task Learning

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Graph-Guided Multi-Task Sparse Learning Model: a Method for Identifying Antigenic Variants of Influenza A(H3N2) Virus

(2018) Lei Han et al.   BIOINFORMATICS

Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification

(2018) Chi Su et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task Learning

(2017) Xiao Lu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Online Multi-Task Learning Framework for Ensemble Forecasting

(2017) Jianpeng Xu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting

(2017) Liang Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Robust Online Multi-Task Learning with Correlative and Personalized Structures

(2017) Peng Yang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

(2017) An-An Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multitask Matrix Completion for Learning Protein Interactions Across Diseases

(2017) Meghana Kshirsagar et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Distributed multi-task classification: a decentralized online learning approach

(2017) Chi Zhang et al.   MACHINE LEARNING

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

(2017) Xiaofeng Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction

(2016) Dan He et al.   BIOINFORMATICS

Multi-Task Multi-View Clustering

(2016) Xiaotong Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Flexible Clustered Multi-Task Learning by Learning Representative Tasks

(2016) Qiang Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation

(2016) Ikko Yamane et al.   NEURAL COMPUTATION

Block-Row Sparse Multiview Multilabel Learning for Image Classification

(2016) Xiaofeng Zhu et al.   IEEE Transactions on Cybernetics

Multi-Task CNN Model for Attribute Prediction

(2015) Abrar H. Abdulnabi et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Convex Discriminative Multitask Clustering

(2015) Xiao-Lei Zhang   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Smart Multitask Bregman Clustering and Multitask Kernel Clustering

(2015) Xianchao Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Multitask Spectral Clustering by Exploring Intertask Correlation

(2015) Yang Yang et al.   IEEE Transactions on Cybernetics

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

(2014) Sijin Li et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A Regularization Approach to Learning Task Relationships in Multitask Learning

(2014) Yu Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Multitask learning for host–pathogen protein interactions

(2013) Meghana Kshirsagar et al.   BIOINFORMATICS

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Geometry preserving multi-task metric learning

(2013) Peipei Yang et al.   MACHINE LEARNING

Multilabel relationship learning

(2013) Yu Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Robust Visual Tracking via Structured Multi-Task Sparse Learning

(2012) Tianzhu Zhang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

(2011) Fantine Mordelet et al.   BMC BIOINFORMATICS

Saliency Detection by Multitask Sparsity Pursuit

(2011) Congyan Lang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Support union recovery in high-dimensional multivariate regression

(2010) Guillaume Obozinski et al.   ANNALS OF STATISTICS

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins

(2010) Y. Qi et al.   BIOINFORMATICS

Multi-population GWA mapping via multi-task regularized regression

(2010) K. Puniyani et al.   BIOINFORMATICS

Sparse multitask regression for identifying common mechanism of response to therapeutic targets

(2010) K. Zhang et al.   BIOINFORMATICS

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study

(2010) Qi Liu et al.   BMC BIOINFORMATICS

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning

(2010) Christian Widmer et al.   BMC BIOINFORMATICS

Multitask Learning for Protein Subcellular Location Prediction

(2010) Qian Xu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

(2010) Ting Kei Pong et al.   SIAM JOURNAL ON OPTIMIZATION

Semisupervised Multitask Learning

(2008) Qiuhua Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Bayesian Online Multitask Learning of Gaussian Processes

(2008) G. Pillonetto et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data

(2008) Kai Ni et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Inductive transfer with context-sensitive neural networks

(2008) Daniel L. Silver et al.   MACHINE LEARNING

A notion of task relatedness yielding provable multiple-task learning guarantees

(2008) Shai Ben-David et al.   MACHINE LEARNING

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING