Fetching the paper…
Reading the bibliography…
Multi-task learning (MTL) has led to successes in many applications of machine learning, from natural language processing and speech recognition to computer vision and drug discovery.
Learning from hints in neural networks
Abu-Mostafa, Y. S. (1990) · 1990
Earlier work this paper cites.
Multitask learning: A knowledge-based source of inductive bias
Caruana, R. (1993) · 1993
Earlier work this paper cites.
Promoting poor features to supervisors: Some inputs work better as outputs
Caruana, R. and de Sa, V. R. (1997) · 1996
Earlier work this paper cites.
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Thrun, S. and O’Sullivan, J. (1996) · 1996
Earlier work this paper cites.
A Bayesian/information theoretic model of learning to learn via multiple task sampling
Baxter, J. (1997) · 1997
Earlier work this paper cites.
Multitask Learning
Caruana, R. (1998) · 1998
Earlier work this paper cites.
A Model of Inductive Bias Learning
Baxter, J. (2000) · 2000
Earlier work this paper cites.
Empirical Bayes for Learning to Learn
Heskes, T. (2000) · 2000
Earlier work this paper cites.
Task Clustering and Gating for BayesianMultitask Learning
Bakker, B. and Heskes, T. (2003) · 2003
Earlier work this paper cites.
Exploiting task relatedness for multiple task learning
Ben-David, S. and Schuller, R. (2003) · 2003
Earlier work this paper cites.
Regularized multi-task learning
Evgeniou, T. and Pontil, M. (2004) · 2004
Earlier work this paper cites.
Learning to learn with the informative vector machine
Lawrence, N. D. and Platt, J. C. (2004) · 2004
Earlier work this paper cites.
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
Ando, R. K. and Tong, Z. (2005) · 2005
Earlier work this paper cites.
Learning multiple tasks with kernel methods
Evgeniou, T., Micchelli, C. A., and Pontil, M. (2005) · 2005
Earlier work this paper cites.
Learning Gaussian processes from multiple tasks
Yu, K., Tresp, V., and Schwaighofer, A. (2005) · 2005
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
Yuan, M. and Lin, Y. (2006) · 2006
Earlier work this paper cites.
Multi-Task Feature Learning
Argyriou, A. and Pontil, M. (2007) · 2007
Earlier work this paper cites.
Multi-Task Learning for Classification with Dirichlet Process Priors
Xue, Y., Liao, X., Carin, L., and Krishnapuram, B. (2007) · 2007
Earlier work this paper cites.
A unified architecture for natural language processing
Collobert, R. and Weston, J. (2008) · 2008
Earlier work this paper cites.
Joint support recovery under high-dimensional scaling: Benefits and perils of $ell_{1,infty}$-regularization
Negahban, S. and Wainwright, M. J. (2008) · 2008
Cited alongside, same era.
The sparsity and bias of the lasso selection in high-dimensional linear regression
Zhang, C. H. and Huang, J. (2008) · 2008
Cited alongside, same era.
Bayesian multitask learning with latent hierarchies
Daumé III, H. (2009) · 2009
Cited alongside, same era.
Clustered Multi-Task Learning: A Convex Formulation
Jacob, L., Vert, J.-p., Bach, F. R., and Vert, J.-p. (2009) · 2009
Cited alongside, same era.
Taking Advantage of Sparsity in Multi-Task Learning
Lounici, K., Pontil, M., Tsybakov, A. B., and van de Geer, S. (2009) · 2009
Cited alongside, same era.
Linear Algorithms for Online Multitask Classification
Cavallanti, G., Cesa-Bianchi, N., and Gentile, C. (2010) · 2010
Fast R-CNN
Girshick, R. (2015) · 2015
Later among the works it cites.
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
Liu, X., Gao, J., He, X., Deng, L., Duh, K., and Wang, Y.-Y. (2015) · 2015
Later among the works it cites.
Learning Multiple Tasks with Deep Relationship Networks
Long, M. and Wang, J. (2015) · 2015
Later among the works it cites.
Massively Multitask Networks for Drug Discovery
Ramsundar, B., Kearnes, S., Riley, P., Webster, D., Konerding, D., and Pande, V. (2015) · 2015
Later among the works it cites.
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Hashimoto, K., Xiong, C., Tsuruoka, Y., and Socher, R. (2016) · 2016
Later among the works it cites.
Distributed Multi-task Relationship Learning
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
Chen, X., Kim, S., Lin, Q., Carbonell, J. G., and Xing, E. P. (2010) · 2010
Cited alongside, same era.
A Dirty Model for Multi-task Learning
Jalali, A., Ravikumar, P., Sanghavi, S., and Ruan, C. (2010) · 2010
Cited alongside, same era.
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
Kim, S. and Xing, E. P. (2010) · 2010
Cited alongside, same era.
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Zhang, Y. and Yeung, D.-y. (2010) · 2010
Cited alongside, same era.
Learning with whom to share in multi-task feature learning
Kang, Z., Grauman, K., and Sha, F. (2011) · 2011
Cited alongside, same era.
Online learning of multiple tasks and their relationships
Saha, A., Rai, P., Daumé, H., and Venkatasubramanian, S. (2011) · 2011
Cited alongside, same era.
Liu, S., Pan, S. J., and Ho, Q. (2016) · 2016
Later among the works it cites.
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Lu, Y., Kumar, A., Zhai, S., Cheng, Y., Javidi, T., and Feris, R. (2016) · 2016
Later among the works it cites.
Cross-stitch Networks for Multi-task Learning
Misra, I., Shrivastava, A., Gupta, A., and Hebert, M. (2016) · 2016
Later among the works it cites.
Deep multi-task learning with low level tasks supervised at lower layers
Søgaard, A. and Goldberg, Y. (2016) · 2016
Later among the works it cites.
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification
Yu, J. and Jiang, J. (2016) · 2016
Later among the works it cites.
When is multitask learning effective? Multitask learning for semantic sequence prediction under varying data conditions
Alonso, H. M. and Plank, B. (2017) · 2017
Closest in time.
Deep Voice: Real-time Neural Text-to-Speech
Arık, S. Ö., Chrzanowski, M., Coates, A., Diamos, G., Gibiansky, A., Kang, Y., Li, X., Miller, J., Raiman, J., Sengupta, S., and Shoeybi, M. (2017) · 2017
Closest in time.
Identifying beneficial task relations for multi-task learning in deep neural networks
Bingel, J. and Søgaard, A. (2017) · 2017
Closest in time.
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Kendall, A., Gal, Y., and Cipolla, R. (2017) · 2017
Closest in time.
Semi-supervised Multitask Learning for Sequence Labeling
Rei, M. (2017) · 2017
Closest in time.
Sluice networks: Learning what to share between loosely related tasks
Ruder, S., Bingel, J., Augenstein, I., and Søgaard, A. (2017) · 2017
Closest in time.
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Yang, Y. and Hospedales, T. (2017a) · 2017
Closest in time.
Trace Norm Regularised Deep Multi-Task Learning
Yang, Y. and Hospedales, T. M. (2017b) · 2017
Closest in time.