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Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challenging to train properly.
Multitask learning
Caruana, R · 1998
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Task clustering and gating for bayesian multitask learning
Bakker, B. and Heskes, T · 2003
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A unified architecture for natural language processing: Deep neural networks with multitask learning
Collobert, R. and Weston, J · 2008
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Clustered multi-task learning: A convex formulation
Jacob, L., Vert, J.-p., and Bach, F. R · 2009
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Learning with whom to share in multi-task feature learning
Kang, Z., Grauman, K., and Sha, F · 2011
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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, P. K. and Fergus, R · 2012
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Multi-task learning in deep neural networks for improved phoneme recognition
Seltzer, M. L. and Droppo, J · 2013
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Deep architecture for traffic flow prediction: deep belief networks with multitask learning
Huang, W., Song, G., Hong, H., and Xie, K · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K. and Zisserman, A · 2014
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Self-informed neural network structure learning
Warde-Farley, D., Rabinovich, A., and Anguelov, D · 2014
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Facial landmark detection by deep multi-task learning
Zhang, Z., Luo, P., Loy, C. C., and Tang, X · 2014
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Badrinarayanan, V., Kendall, A., and Cipolla, R · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
Eigen, D. and Fergus, R · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S. and Szegedy, C · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., and Darrell, T · 2015
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Lu, Y., Kumar, A., Zhai, S., Cheng, Y., Javidi, T., and Feris, R · 2016
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Cross-stitch networks for multi-task learning
Misra, I., Shrivastava, A., Gupta, A., and Hebert, M · 2016
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Yolo9000: better, faster, stronger
Redmon, J. and Farhadi, A · 2016
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Deep multi-task learning with low level tasks supervised at lower layers
Søgaard, A. and Goldberg, Y · 2016
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Multinet: Real-time joint semantic reasoning for autonomous driving
Teichmann, M., Weber, M., Zoellner, M., Cipolla, R., and Urtasun, R · 2016
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Long, M. and Wang, J · 2015
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Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis
Wu, Z., Valentini-Botinhao, C., Watts, O., and King, S · 2015
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A joint many-task model: Growing a neural network for multiple nlp tasks
Hashimoto, K., Xiong, C., Tsuruoka, Y., and Socher, R · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Kokkinos, I · 2016
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Universal representations: The missing link between faces, text, planktons, and cat breeds
Bilen, H. and Vedaldi, A · 2017
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Automated curriculum learning for neural networks
Graves, A., Bellemare, M. G., Menick, J., Munos, R., and Kavukcuoglu, K · 2017
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He, K., Gkioxari, G., Dollár, P., and Girshick, R · 2017
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Kendall, A., Gal, Y., and Cipolla, R · 2017
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Roomnet: End-to-end room layout estimation
Lee, C.-Y., Badrinarayanan, V., Malisiewicz, T., and Rabinovich, A · 2017
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