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Unbounded cache model for online language modeling with open vocabulary

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Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals

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Learning Explanatory Rules from Noisy Data

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Unsupervised Cross-Domain Image Generation

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Unsupervised Cross-Domain Image Generation

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Listening to the World Improves Speech Command Recognition

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Deep Residual Learning for Small-Footprint Keyword Spotting

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Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions

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HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT

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An Information-Theoretic Analysis of Deep Latent-Variable Models

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Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks

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JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

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Dynamic Routing Between Capsules

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Emergent Translation in Multi-Agent Communication

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Rainbow: Combining Improvements in Deep Reinforcement Learning

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Molecular De Novo Design through Deep Reinforcement Learning

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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

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Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration

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Rainbow: Combining Improvements in Deep Reinforcement Learning

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AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

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