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03/04/2019
The StreetLearn Environment and Dataset
Navigation is a rich and well-grounded problem domain that drives progre...
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03/01/2019
Learning To Follow Directions in Street View
Navigating and understanding the real world remains a key challenge in m...
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07/04/2018
Encoding Spatial Relations from Natural Language
Natural language processing has made significant inroads into learning t...
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05/24/2018
Hyperbolic Attention Networks
We introduce hyperbolic attention networks to endow neural networks with...
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05/23/2018
Pushing the bounds of dropout
We show that dropout training is best understood as performing MAP estim...
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04/11/2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
The ability of algorithms to evolve or learn (compositional) communicati...
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03/31/2018
Learning to Navigate in Cities Without a Map
Navigating through unstructured environments is a basic capability of in...
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12/19/2017
The NarrativeQA Reading Comprehension Challenge
Reading comprehension (RC)---in contrast to information retrieval---requ...
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10/26/2017
Understanding Grounded Language Learning Agents
Neural network-based systems can now learn to locate the referents of wo...
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06/20/2017
Grounded Language Learning in a Simulated 3D World
We are increasingly surrounded by artificially intelligent technology th...
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09/29/2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders
We present a novel semi-supervised approach for sequence transduction an...
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03/22/2016
Latent Predictor Networks for Code Generation
Many language generation tasks require the production of text conditione...
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09/22/2015
Reasoning about Entailment with Neural Attention
While most approaches to automatically recognizing entailment relations ...
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06/10/2015
Teaching Machines to Read and Comprehend
Teaching machines to read natural language documents remains an elusive ...
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06/08/2015
Learning to Transduce with Unbounded Memory
Recently, strong results have been demonstrated by Deep Recurrent Neural...
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12/04/2014
