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Associative Compression Networks for Representation Learning

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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

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The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

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A generic framework for privacy preserving deep learning

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A Tutorial on Deep Latent Variable Models of Natural Language

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Residual Reinforcement Learning for Robot Control

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Bayesian Optimization in AlphaGo

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Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder

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A Style-Based Generator Architecture for Generative Adversarial Networks

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The challenge of realistic music generation: modelling raw audio at scale

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Provably Efficient Maximum Entropy Exploration

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Troubling Trends in Machine Learning Scholarship

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Recurrent Relational Networks

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Image Generation from Layout

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Amortized Bayesian inference for clustering models

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Sequential Neural Methods for Likelihood-free Inference

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

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Representation Mixing for TTS Synthesis

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Deep Determinantal Point Processes

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Recurrent World Models Facilitate Policy Evolution

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