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Multi-task learning in Convolutional Networks has displayed remarkable success in the field of recognition.
Inadmissibility of the usual estimator for the mean of a multivariate normal distribution
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Object detection with discriminatively trained part-based models
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Shared Roots: Regularizing Deep Neural Networks through Multitask Learning
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Natural language processing (almost) from scratch
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Learning with whom to share in multi-task feature learning
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MALSAR: Multi-tAsk Learning via StructurAl Regularization
J. Zhou, J. Chen, and J. Ye · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Exploiting unrelated tasks in multi-task learning
B. Romera-Paredes, A. Argyriou, N. Berthouze, and M. Pontil · 2012
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Indoor segmentation and support inference from rgbd images
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How transferable are features in deep neural networks?
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Improving multiview face detection with multi-task deep convolutional neural networks
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
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Object detection via a multi-region & semantic segmentation-aware cnn model
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Fast R-CNN
R. B. Girshick · 2015
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Rotating your face using multi-task deep neural network
J. Y. H. Jung, B. Yoo, C. Choi, D. Park, and J. Kim · 2015
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Representation learning using multi-task deep neural networks for semantic classification and information retrieval
X. Liu, J. Gao, X. He, L. Deng, K. Duh, and Y.-Y. Wang · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Multi-task learning with low rank attribute embedding for person re-identification
C. Su et al · 2015
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Designing deep networks for surface normal estimation
X. Wang, D. F. Fouhey, and A. Gupta · 2015
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