
HotpotQA: A Dataset for Diverse, Explainable Multihop Question Answering
Existing question answering (QA) datasets fail to train QA systems to pe...
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Personalizing Dialogue Agents: I have a dog, do you have pets too?
Chitchat models are known to have several problems: they lack specifici...
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A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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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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A Deep Reinforcement Learning Chatbot
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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Neural Models for Key Phrase Detection and Question Generation
We propose a twostage neural model to tackle question generation from d...
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Machine Comprehension by TexttoText Neural Question Generation
We propose a recurrent neural model that generates naturallanguage ques...
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Towards EndtoEnd Speech Recognition with Deep Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are effective models for reducing s...
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Professor Forcing: A New Algorithm for Training Recurrent Networks
The Teacher Forcing algorithm trains recurrent networks by supplying obs...
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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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Architectural Complexity Measures of Recurrent Neural Networks
In this paper, we systematically analyze the connecting architectures of...
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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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GSNs : Generative Stochastic Networks
We introduce a novel training principle for probabilistic models that is...
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Difference Target Propagation
Backpropagation has been the workhorse of recent successes of deep lear...
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Saizheng Zhang
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Ph.D. at Montreal Institute for Learning Algorithms, Research Scientist at Element AI