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Learning Latent Dynamics for Planning from Pixels
Danijar Hafner and Timothy Lillicrap and Ian Fischer and Ruben Villegas and David Ha and Honglak Lee and James Davidson
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by wassname 1 year ago
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Summary by Geneviève Boucher 2 years ago
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Summary by David Stutz 1 year ago
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Summary by AcaWiki 4 years ago
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG

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Summary by Alexander Jung 2 years ago
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford and Luke Metz and Soumith Chintala
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG, cs.CV

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Summary by Shagun Sodhani 3 years ago
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Sequential Neural Models with Stochastic Layers
Marco Fraccaro and Søren Kaae Sønderby and Ulrich Paquet and Ole Winther
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Deniz Akyildiz 3 years ago
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Simple Black-Box Adversarial Perturbations for Deep Networks
Nina Narodytska and Shiva Prasad Kasiviswanathan
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 2 years ago
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Prototypical Networks for Few-shot Learning
Jake Snell and Kevin Swersky and Richard S. Zemel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 1 year ago
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang and Yixuan Li and R. Srikant
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 10 months ago
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