Saizheng Zhang | DeepAI

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Yoshua Bengio
448 publications
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Joelle Pineau
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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...

0 Zhilin Yang, et al. ∙

∙ 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...

0 Saizheng Zhang, et al. ∙

∙ 01/20/2018

A Deep Reinforcement Learning Chatbot (Short Version)

We present MILABOT: a deep reinforcement learning chatbot developed by t...

0 Iulian V. Serban, et al. ∙

∙ 11/21/2017

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent

Contrary to most natural language processing research, which makes use o...

0 Zhilin Yang, et al. ∙

∙ 09/07/2017

A Deep Reinforcement Learning Chatbot

We present MILABOT: a deep reinforcement learning chatbot developed by t...

0 Iulian V. Serban, et al. ∙

∙ 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...

0 Sandeep Subramanian, et al. ∙

∙ 05/04/2017

Machine Comprehension by Text-to-Text Neural Question Generation

We propose a recurrent neural model that generates natural-language ques...

0 Xingdi Yuan, et al. ∙

∙ 01/10/2017

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are effective models for reducing s...

0 Ying Zhang, et al. ∙

∙ 10/27/2016

Professor Forcing: A New Algorithm for Training Recurrent Networks

The Teacher Forcing algorithm trains recurrent networks by supplying obs...

0 Alex Lamb, et al. ∙

∙ 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...

0 The Theano Development Team, et al. ∙

∙ 02/26/2016

Architectural Complexity Measures of Recurrent Neural Networks

In this paper, we systematically analyze the connecting architectures of...

0 Saizheng Zhang, et al. ∙

∙ 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 ...

0 Yoshua Bengio, et al. ∙

∙ 03/18/2015

GSNs : Generative Stochastic Networks

We introduce a novel training principle for probabilistic models that is...

0 Guillaume Alain, et al. ∙

∙ 12/23/2014

Difference Target Propagation

Back-propagation has been the workhorse of recent successes of deep lear...

0 Dong-Hyun Lee, et al. ∙

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