Unsupervised Deep Learning – ICLR 2017 Discoveries

标签：ml

1. Unsupervised Learning Using Generative Adversarial Training And Clustering – Authors: Vittal Premachandran, Alan L. Yuille

2. An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax– Authors: Wentao Huang, Kechen Zhang

3. Unsupervised Cross-Domain Image Generation – Authors: Yaniv Taigman, Adam Polyak, Lior Wolf

4. Unsupervised Perceptual Rewards for Imitation Learning – Authors: Pierre Sermanet, Kelvin Xu, Sergey Levine

5. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning – Authors: William Lotter, Gabriel Kreiman, David Cox

6. Unsupervised sentence representation learning with adversarial auto-encoder – Authors: Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang

7. Unsupervised Program Induction with Hierarchical Generative Convolutional Neural Networks – Authors: Qucheng Gong, Yuandong Tian, C. Lawrence Zitnick

8. Generalizable Features From Unsupervised Learning – Authors: Mehdi Mirza, Aaron Courville, Yoshua Bengio

9. Reinforcement Learning with Unsupervised Auxiliary Tasks – Authors: Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, Koray Kavukcuoglu

10. Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data – Authors: Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt

11. Unsupervised Learning of State Representations for Multiple Tasks – Authors: Antonin Raffin, Sebastian Hfer, Rico Jonschkowski, Oliver Brock, Freek Stulp

12. Unsupervised Pretraining for Sequence to Sequence Learning – Authors: Prajit Ramachandran, Peter J. Liu, Quoc V. Le

13. Unsupervised Deep Learning of State Representation Using Robotic Priors – Authors: Timothee LESORT, David FILLIAT

14. Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders – Authors: Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C.H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

15. Deep unsupervised learning through spatial contrasting – Authors: Elad Hoffer, Itay Hubara, Nir Ailon

https://www.youtube.com/watch?v=rK6bchqeaN8

https://amundtveit.com/

http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2651989467&idx=1&sn=01610b4809f7c5c31bad2589926006cd&chksm=f121512ac656d83cfa5b7566e301738d46b8097b58aea724b1a94b183077f9538871346142d3&mpshare=1&scene=23&srcid=1113gx5LrBwRORmJHjd7lZOe#rd

http://it.sohu.com/20161113/n473045543.shtml

https://baijiahao.baidu.com/s?id=1550404872422873&wfr=spider&for=pc

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Unsupervised Deep Learning – ICLR 2017 Discoveries

标签：ml

原文地址：http://qing0991.blog.51cto.com/1640542/1872533