Unsupervised Deep Learning – ICLR 2017 Discoveries

This blog post gives an overview of papers related to Unsupervised Deep Learning¬†submitted to ICLR 2017, see underneath for the list of papers. If you want to learn about Unsupervised Deep Learning check out: Ruslan Salkhutdinov’s video Foundations of Unsupervised Deep Learning.

Best regards,
Amund Tveit

  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 РAuthors: Antonin Raffin, Sebastian Höfer, 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

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