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A key problem in deep multi-attribute learning is to effectively discover the inter-attribute correlation structures.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
A method of solving a convex programming problem with convergence rate O (1/k2). In Soviet Mathematics Doklady , Vol. 27. 372–376
Yurii Nesterov. 1983 · 1983
Earlier work this paper cites.
A fast learning algorithm for deep belief nets
Geoffrey E Hinton, Simon Osindero, and Yee-Whye Teh. 2006 · 2006
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006 · 2006
Earlier work this paper cites.
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
Joel A Tropp, Anna C Gilbert, and Martin J Strauss. 2006 · 2006
Earlier work this paper cites.
Greedy layer-wise training of deep networks. In NIPS . 153–160
Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. 2007 · 2007
Earlier work this paper cites.
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. 2007 · 2007
Earlier work this paper cites.
Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
Earlier work this paper cites.
Practical bayesian optimization of machine learning algorithms. In NIPS . 2951–2959
Jasper Snoek, Hugo Larochelle, and Ryan P Adams. 2012 · 2012
Earlier work this paper cites.
How transferable are features in deep neural networks?. In NIPS . 3320–3328
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014 · 2014
Earlier work this paper cites.
Panda: Pose aligned networks for deep attribute modeling. In CVPR . 1637–1644
Ning Zhang, Manohar Paluri, Marc’Aurelio Ranzato, Trevor Darrell, and Lubomir Bourdev. 2014 · 2014
Earlier work this paper cites.
Deep Learning Face Attributes in the Wild. In ICCV
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. 2015 · 2015
Cited alongside, same era.
Scalable person re-identification: A benchmark. In ICCV . 1116–1124
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. 2015 · 2015
Cited alongside, same era.
Towards automatically-tuned neural networks. In Workshop on Automatic Machine Learning . 58–65
Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, and Frank Hutter. 2016 · 2016
Cited alongside, same era.
Cross-stitch networks for multi-task learning. In CVPR . 3994–4003
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert. 2016 · 2016
Cited alongside, same era.
Moon: A mixed objective optimization network for the recognition of facial attributes. In ECCV . 19–35
Ethan M Rudd, Manuel Günther, and Terrance E Boult. 2016 · 2016
Cited alongside, same era.
Fully-adaptive feature sharing in multi-task networks with applications in person attribute classification. In CVPR . 5334–5343
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, and Rogerio Feris. 2017 · 2017
Later among the works it cites.
Automatic differentiation in PyTorch. In NIPS-W
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Later among the works it cites.
Large-scale evolution of image classifiers
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Quoc Le, and Alex Kurakin. 2017 · 2017
Later among the works it cites.
Neural architecture search with reinforcement learning. In ICLR
Barret Zoph and Quoc V Le. 2017 · 2017
Later among the works it cites.
SMASH: one-shot model architecture search through hypernetworks. In ICLR
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston. 2018 · 2018
Closest in time.
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Bowen Baker, Otkrist Gupta, Ramesh Raskar, and Nikhil Naik. 2017 · 2017
Cited alongside, same era.
A Deep Cascade Network for Unaligned Face Attribute Classification
Hui Ding, Hao Zhou, Shaohua Kevin Zhou, and Rama Chellappa. 2017 · 2017
Cited alongside, same era.
Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification.. In AAAI . 4068–4074
Emily M Hand and Rama Chellappa. 2017 · 2017
Cited alongside, same era.
Adaptively Weighted Multi-task Deep Network for Person Attribute Classification. In ACM MM . ACM, 1636–1644
Keke He, Zhanxiong Wang, Yanwei Fu, Rui Feng, Yu-Gang Jiang, and Xiangyang Xue. 2017 · 2017
Cited alongside, same era.
A Multi-Task Framework for Weather Recognition. In ACM MM . ACM, 1318–1326
Xuelong Li, Zhigang Wang, and Xiaoqiang Lu. 2017 · 2017
Cited alongside, same era.
Improving person re-identification by attribute and identity learning
Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, and Yi Yang. 2017 · 2017
Cited alongside, same era.
Partially Shared Multi-Task Convolutional Neural Network with Local Constraint for Face Attribute Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 4290–4299
Jiajiong Cao, Yingming Li, and Zhongfei Zhang. 2018 · 2018
Closest in time.
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabas Poczos, and Eric Xing. 2018 · 2018
Closest in time.
Deep Attribute Guided Representation for Heterogeneous Face Recognition. In IJCAI . 835–841
Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, and Xinbo Gao. 2018 · 2018
Closest in time.
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y Guan, Barret Zoph, Quoc V Le, and Jeff Dean. 2018 · 2018
Closest in time.
Learning transferable architectures for scalable image recognition. In CVPR
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le. 2018 · 2018
Closest in time.