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09/25/2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Existing question answering (QA) datasets fail to train QA systems to pe...
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01/22/2018
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Chit-chat models are known to have several problems: they lack specifici...
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01/20/2018
A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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11/21/2017
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Contrary to most natural language processing research, which makes use o...
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09/07/2017
A Deep Reinforcement Learning Chatbot
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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06/14/2017
Neural Models for Key Phrase Detection and Question Generation
We propose a two-stage neural model to tackle question generation from d...
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05/04/2017
Machine Comprehension by Text-to-Text Neural Question Generation
We propose a recurrent neural model that generates natural-language ques...
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01/10/2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are effective models for reducing s...
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10/27/2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
The Teacher Forcing algorithm trains recurrent networks by supplying obs...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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02/26/2016
Architectural Complexity Measures of Recurrent Neural Networks
In this paper, we systematically analyze the connecting architectures of...
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09/19/2015
STDP as presynaptic activity times rate of change of postsynaptic activity
We introduce a weight update formula that is expressed only in terms of ...
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03/18/2015
GSNs : Generative Stochastic Networks
We introduce a novel training principle for probabilistic models that is...
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12/23/2014
