Fetching the paper…
Reading the bibliography…
In multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them.
Nonlinear programming
H. W. Kuhn and A. W. Tucker · 1951
Earlier work this paper cites.
Inadmissibility of the usual estimator for the mean of a multivariate normal distribution
C. Stein · 1956
Earlier work this paper cites.
Finding the nearest point in a polytope
P. Wolfe · 1976
Earlier work this paper cites.
A recursive algorithm for finding the minimum norm point in a polytope and a pair of closest points in two polytopes
K. Sekitani and Y. Yamamoto · 1993
Earlier work this paper cites.
An efficient algorithm for finding the minimum norm point in the convex hull of a finite point set in the plane
N. Makimoto, I. Nakagawa, and A. Tamura · 1994
Earlier work this paper cites.
Multitask learning
R. Caruana · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Nonlinear Multiobjective Optimization
K. Miettinen · 1998
Earlier work this paper cites.
A model of inductive bias learning
J. Baxter · 2000
Earlier work this paper cites.
Steepest descent methods for multicriteria optimization
J. Fliege and B. F. Svaiter · 2000
Earlier work this paper cites.
Stochastic method for the solution of unconstrained vector optimization problems
S. Schäffler, R. Schultz, and K. Weinzierl · 2002
Earlier work this paper cites.
Task clustering and gating for Bayesian multitask learning
B. Bakker and T. Heskes · 2003
Earlier work this paper cites.
Content-based image retrieval through a multi-agent meta-learning framework
A. Bagherjeiran, R. Vilalta, and C. F. Eick · 2005
Earlier work this paper cites.
Multicriteria Optimization (2. ed.)
M. Ehrgott · 2005
Earlier work this paper cites.
Multi-task feature learning
A. Argyriou, T. Evgeniou, and M. Pontil · 2007
Earlier work this paper cites.
Multi-task learning for classification with dirichlet process priors
Y. Xue, X. Liao, L. Carin, and B. Krishnapuram · 2007
Earlier work this paper cites.
A unified architecture for natural language processing: Deep neural networks with multitask learning
R. Collobert and J. Weston · 2008
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
A convex formulation for learning task relationships in multi-task learning
Y. Zhang and D. Yeung · 2010
Cited alongside, same era.
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection
P. B. C. de Miranda, R. B. C. Prudêncio, A. C. P. L. F. de Carvalho, and C. Soares · 2012
Cited alongside, same era.
Multiple-gradient descent algorithm (MGDA) for multiobjective optimization
J.-A. Désidéri · 2012
Cited alongside, same era.
Towards Pareto descent directions in sampling experts for multiple tasks in an on-line learning paradigm
S. Ghosh, C. Lovell, and S. R. Gunn · 2013
Cited alongside, same era.
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers
J.-T. Huang, J. Li, D. Yu, L. Deng, and Y. Gong · 2013
Cited alongside, same era.
Cross-stitch networks for multi-task learning
I. Misra, A. Shrivastava, A. Gupta, and M. Hebert · 2016
Later among the works it cites.
Inverse reinforcement learning through policy gradient minimization
M. Pirotta and M. Restelli · 2016
Later among the works it cites.
MOON: A mixed objective optimization network for the recognition of facial attributes
E. M. Rudd, M. Günther, and T. E. Boult · 2016
Later among the works it cites.
Pareto frontier learning with expensive correlated objectives
A. Shah and Z. Ghahramani · 2016
Later among the works it cites.
Trace norm regularised deep multi-task learning
Y. Yang and T. M. Hospedales · 2016
Later among the works it cites.
A joint many-task model: Growing a neural network for multiple NLP tasks
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. Jaggi · 2013
Cited alongside, same era.
A survey of multi-objective sequential decision-making
D. M. Roijers, P. Vamplew, S. Whiteson, and R. Dazeley · 2013
Cited alongside, same era.
Multi-task learning in deep neural networks for improved phoneme recognition
M. L. Seltzer and J. Droppo · 2013
Cited alongside, same era.
Pareto-path multi-task multiple kernel learning
C. Li, M. Georgiopoulos, and G. C. Anagnostopoulos · 2014
Cited alongside, same era.
Policy gradient approaches for multi-objective sequential decision making
S. Parisi, M. Pirotta, N. Smacchia, L. Bascetta, and M. Restelli · 2014
Cited alongside, same era.
Multi-task learning for multiple language translation
D. Dong, H. Wu, W. He, D. Yu, and H. Wang · 2015
Cited alongside, same era.
Rapid adaptation for deep neural networks through multi-task learning
Z. Huang, J. Li, S. M. Siniscalchi, I.-F. Chen, J. Wu, and C.-H. Lee · 2015
Cited alongside, same era.
K. Hashimoto, C. Xiong, Y. Tsuruoka, and R. Socher · 2017
Later among the works it cites.
L. Kaiser, A. N. Gomez, N. Shazeer, A. Vaswani, N. Parmar, L. Jones, and J. Uszkoreit · 2017
Later among the works it cites.
UberNet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
I. Kokkinos · 2017
Later among the works it cites.
Automatic differentiation in PyTorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Later among the works it cites.
Descent algorithm for nonsmooth stochastic multiobjective optimization
F. Poirion, Q. Mercier, and J. Désidéri · 2017
Later among the works it cites.
Routing networks: Adaptive selection of non-linear functions for multi-task learning
C. Rosenbaum, T. Klinger, and M. Riemer · 2017
Later among the works it cites.
An overview of multi-task learning in deep neural networks
S. Ruder · 2017
Later among the works it cites.
Dynamic routing between capsules
S. Sabour, N. Frosst, and G. E. Hinton · 2017
Later among the works it cites.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Later among the works it cites.
GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Z. Chen, V. Badrinarayanan, C. Lee, and A. Rabinovich · 2018
Closest in time.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
A. Kendall, Y. Gal, and R. Cipolla · 2018
Closest in time.
Gradient-based multiobjective optimization with uncertainties
S. Peitz and M. Dellnitz · 2018
Closest in time.
Taskonomy: Disentangling task transfer learning
A. R. Zamir, A. Sax, W. B. Shen, L. J. Guibas, J. Malik, and S. Savarese · 2018
Closest in time.