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Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
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In: Proc IEEE Int Conf Comput Vis (2020)
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On sample efficiency and systematic generalization of grounded language understanding with deep learning
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Advances in deep learning methods for speech recognition and understanding
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CLOSURE: Assessing Systematic Generalization of CLEVR Models ...
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Deep neural networks for natural language processing and its acceleration
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Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction ...
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Learning and time : on using memory and curricula for language understanding
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Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism ...
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Context-Dependent Word Representation for Neural Machine Translation ...
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Learning to Understand Phrases by Embedding the Dictionary ...
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BilBOWA: Fast Bilingual Distributed Representations without Word Alignments ...
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Embedding Word Similarity with Neural Machine Translation ...
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation ...
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Hierarchical semi-markov conditional random fields for recursive sequential data
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