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Neural source-filter waveform models for statistical parametric speech synthesis

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On Variational Bounds of Mutual Information

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Non-Monotonic Sequential Text Generation

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Zero-Shot Voice Style Transfer with Only Autoencoder Loss

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Fast and Efficient Zero-Learning Image Fusion

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PPGNet: Learning Point-Pair Graph for Line Segment Detection

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Universal Sound Separation

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MixMatch: A Holistic Approach to Semi-Supervised Learning

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SinGAN: Learning a Generative Model from a Single Natural Image

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High quality, lightweight and adaptable TTS using LPCNet

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A Distributed Method for Fitting Laplacian Regularized Stratified Models

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Style Transfer by Relaxed Optimal Transport and Self-Similarity

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STFT spectral loss for training a neural speech waveform model

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Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks

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Mining Rules Incrementally over Large Knowledge Bases

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A Novel BiLevel Paradigm for Image-to-Image Translation

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Neural Painters: A learned differentiable constraint for generating brushstroke paintings

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Effective Estimation of Deep Generative Language Models

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Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network

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Direct Fitting of Gaussian Mixture Models

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