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Research at Google and ICLR 2016

Sunday, May 1, 2016

Posted by Dumitru Erhan, Gentleman Scientist4th International Conference on Learning RepresentationsMachine LearningNeural NetworksDeep LearningGoogle Brain teamGoogle DeepMindblueOrganizing CommitteeProgram ChairsSamy Bengio, Brian KingsburyArea Chairs include:John Platt, Tara SanaithOral SessionsNeural Programmer-Interpreters(Best Paper Award Recipient)Scott Reed, Nando de FreitasNet2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen, Ian Goodfellow, Jon ShlensConference Track Posters
Prioritized Experience Replay Tom Schau, John Quan, Ioannis Antonoglou, David Silver
Reasoning about Entailment with Neural Attention Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiský, Phil BlunsomNeural Programmer: Inducing Latent Programs With Gradient Descent Arvind Neelakantan, Quoc Le, Ilya Sutskever
MuProp: Unbiased Backpropagation For Stochastic Neural NetworksShixiang Gu, Sergey Levine, Ilya Sutskever, Andriy Mnih
Multi-Task Sequence to Sequence Learning Minh-Thang Luong, Quoc Le, Ilya Sutskever, Oriol Vinyals, Lukasz KaiserA Test of Relative Similarity for Model Selection in Generative Models Eugene Belilovsky, Wacha Bounliphone, Matthew Blaschko, Ioannis Antonoglou, Arthur GrettonContinuous control with deep reinforcement learningTimothy Lillicrap, Jonathan Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan WierstraPolicy DistillationAndrei Rusu, Sergio Gomez, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia HadsellNeural Random-Access MachinesKarol Kurach, Marcin Andrychowicz, Ilya SutskeverVariable Rate Image Compression with Recurrent Neural Networks George Toderici, Sean O'Malley, Damien Vincent, Sung Jin Hwang, Michele Covell, Shumeet Baluja, Rahul Sukthankar, David MinnenOrder Matters: Sequence to Sequence for SetsOriol Vinyals, Samy Bengio, Manjunath Kudlur
Grid Long Short-Term MemoryNal Kalchbrenner, Alex Graves, Ivo Danihelka
Neural GPUs Learn AlgorithmsLukasz Kaiser, Ilya SutskeverACDC: A Structured Efficient Linear LayerMarcin Moczulski, Misha Denil, Jeremy Appleyard, Nando de FreitasWorkshop Track Posters
Revisiting Distributed Synchronous SGD Jianmin Chen, Rajat Monga, Samy Bengio, Rafal JozefowiczBlack Box Variational Inference for State Space Models Evan Archer, Il Memming Park, Lars Buesing, John Cunningham, Liam Paninski
A Minimalistic Approach to Sum-Product Network Learning for Real Applications Viktoriya Krakovna, Moshe LooksEfficient Inference in Occlusion-Aware Generative Models of Images Jonathan Huang, Kevin Murphy
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy, Sergey Ioffe, Vincent VanhouckeDeep Autoresolution Networks Gabriel Pereyra, Christian SzegedyLearning visual groups from co-occurrences in space and time Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. AdelsonAdding Gradient Noise Improves Learning For Very Deep Networks Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James MartensAdversarial Autoencoders Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian GoodfellowGenerating Sentences from a Continuous Space Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, Samy Bengio