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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

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Neural Programmer-Interpreters

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Recurrent Batch Normalization

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Building Machines That Learn and Think Like People

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Revisiting Distributed Synchronous SGD

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Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

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Recurrent Batch Normalization

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Visualizing and Understanding Neural Models in NLP | A Diversity-Promoting Objective Function for Neural Conversation Models

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Dynamic Memory Networks for Visual and Textual Question Answering

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Dynamic Memory Networks for Visual and Textual Question Answering

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Dynamic Memory Networks for Visual and Textual Question Answering

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Multi-task Sequence to Sequence Learning

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WordRank: Learning Word Embeddings via Robust Ranking

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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

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Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

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A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

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Swivel: Improving Embeddings by Noticing What's Missing

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Exploring the Limits of Language Modeling | Strategies for Training Large Vocabulary Neural Language Models

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Exploring the Limits of Language Modeling

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Train faster, generalize better: Stability of stochastic gradient descent

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