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Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing

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End-to-end learning for music audio tagging at scale

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Neural Discrete Representation Learning

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A Probabilistic U-Net for Segmentation of Ambiguous Images

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Datasheets for Datasets

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Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

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EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

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Opportunities in Machine Learning for Healthcare

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Learning a Latent Space of Multitrack Measures

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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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