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DeepMath - Deep Sequence Models for Premise Selection

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Improved Techniques for Training GANs

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Improved Techniques for Training GANs | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

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Matching Networks for One Shot Learning

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Unifying Count-Based Exploration and Intrinsic Motivation

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Unifying Count-Based Exploration and Intrinsic Motivation

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Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

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How Deep is the Feature Analysis underlying Rapid Visual Categorization?

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Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

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TensorFlow: A system for large-scale machine learning

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Density estimation using Real NVP

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FractalNet: Ultra-Deep Neural Networks without Residuals

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Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

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Residual Networks are Exponential Ensembles of Relatively Shallow Networks

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Universum Prescription: Regularization using Unlabeled Data

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A note on the evaluation of generative models

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One-shot Learning with Memory-Augmented Neural Networks

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Learning Convolutional Neural Networks for Graphs

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Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health

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Movie Description

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