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Model Selection in Time Series Analysis: Using Information Criteria as an Alternative to Hypothesis Testing

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Neural Discrete Representation Learning

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Variational Measure Preserving Flows

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Recurrent Pixel Embedding for Instance Grouping

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Implicit Reparameterization Gradients

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Learning Permutations with Sinkhorn Policy Gradient

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Neural Factor Graph Models for Cross-lingual Morphological Tagging

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Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

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Autoregressive Convolutional Neural Networks for Asynchronous Time Series

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Learning to See in the Dark

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FEVER: a large-scale dataset for Fact Extraction and VERification

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Learning to See in the Dark

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AGI Safety Literature Review

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Improving Neural Language Models with a Continuous Cache

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ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks

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Generative Temporal Models with Spatial Memory for Partially Observed Environments

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Phrase-Based & Neural Unsupervised Machine Translation

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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

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Training a Ranking Function for Open-Domain Question Answering

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Spherical CNNs

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