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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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Rethinking ImageNet Pre-training

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Rethinking ImageNet Pre-training

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The PyTorch-Kaldi Speech Recognition Toolkit

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Learning Latent Dynamics for Planning from Pixels

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Blindfold Baselines for Embodied QA

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Large Scale GAN Training for High Fidelity Natural Image Synthesis

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In-Datacenter Performance Analysis of a Tensor Processing Unit

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Learning from Demonstration in the Wild

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Dirichlet Variational Autoencoder for Text Modeling

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Model-Based Active Exploration

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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL

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