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Appendix - Recommended Statistical Significance Tests for NLP Tasks

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Addressing the Fundamental Tension of PCGML with Discriminative Learning

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Spherical Latent Spaces for Stable Variational Autoencoders

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Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals

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Interpretable Visual Question Answering by Reasoning on Dependency Trees

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When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

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Increasing Trust in AI Services through Supplier's Declarations of Conformity

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Approximate Exploration through State Abstraction

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FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations

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An elementary introduction to information geometry

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Deep Clustering for Unsupervised Learning of Visual Features

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End-to-End Neural Entity Linking

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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

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Learning Invariances using the Marginal Likelihood

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Top-Down Tree Structured Text Generation

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Phrase-Based & Neural Unsupervised Machine Translation

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Character-Level Language Modeling with Deeper Self-Attention

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Conditional Neural Processes | Neural Processes

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Diverse Image-to-Image Translation via Disentangled Representations

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