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Google Research Football: A Novel Reinforcement Learning Environment
Recent progress in the field of reinforcement learning has been accelera...
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Towards Accurate Generative Models of Video: A New Metric & Challenges
Recent advances in deep generative models have lead to remarkable progre...
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A Case for Object Compositionality in Deep Generative Models of Images
Deep generative models seek to recover the process with which the observ...
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The GAN Landscape: Losses, Architectures, Regularization, and Normalization
Generative Adversarial Networks (GANs) are a class of deep generative mo...
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MemGEN: Memory is All You Need
We propose a new learning paradigm called Deep Memory. It has the potent...
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Are GANs Created Equal? A Large-Scale Study
Generative adversarial networks (GAN) are a powerful subclass of generat...
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Better Text Understanding Through Image-To-Text Transfer
Generic text embeddings are successfully used in a variety of tasks. How...
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Smart Reply: Automated Response Suggestion for Email
In this paper we propose and investigate a novel end-to-end method for a...
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Adding Gradient Noise Improves Learning for Very Deep Networks
Deep feedforward and recurrent networks have achieved impressive results...
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Neural Random-Access Machines
In this paper, we propose and investigate a new neural network architect...
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