David Grangier

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ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Quick interaction between a human teacher and a learning machine present...
09/16/2014 ∙ by Patrice Simard, et al. ∙ 0 ∙ share

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Convolutional Sequence to Sequence Learning

The prevalent approach to sequence to sequence learning maps an input se...
05/08/2017 ∙ by Jonas Gehring, et al. ∙ 0 ∙ share

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Language Modeling with Gated Convolutional Networks

The pre-dominant approach to language modeling to date is based on recur...
12/23/2016 ∙ by Yann N. Dauphin, et al. ∙ 0 ∙ share

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A Convolutional Encoder Model for Neural Machine Translation

The prevalent approach to neural machine translation relies on bi-direct...
11/07/2016 ∙ by Jonas Gehring, et al. ∙ 0 ∙ share

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Iterative Refinement for Machine Translation

Existing machine translation decoding algorithms generate translations i...
10/20/2016 ∙ by Roman Novak, et al. ∙ 0 ∙ share

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Vocabulary Selection Strategies for Neural Machine Translation

Classical translation models constrain the space of possible outputs by ...
10/01/2016 ∙ by Gurvan L'Hostis, et al. ∙ 0 ∙ share

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Efficient softmax approximation for GPUs

We propose an approximate strategy to efficiently train neural network b...
09/14/2016 ∙ by Edouard Grave, et al. ∙ 0 ∙ share

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Interactive Semantic Featuring for Text Classification

In text classification, dictionaries can be used to define human-compreh...
06/24/2016 ∙ by Camille Jandot, et al. ∙ 0 ∙ share

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Neural Text Generation from Structured Data with Application to the Biography Domain

This paper introduces a neural model for concept-to-text generation that...
03/24/2016 ∙ by Rémi Lebret, et al. ∙ 0 ∙ share

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Strategies for Training Large Vocabulary Neural Language Models

Training neural network language models over large vocabularies is still...
12/15/2015 ∙ by Welin Chen, et al. ∙ 0 ∙ share

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Classical Structured Prediction Losses for Sequence to Sequence Learning

There has been much recent work on training neural attention models at t...
11/14/2017 ∙ by Sergey Edunov, et al. ∙ 0 ∙ share

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QuickEdit: Editing Text & Translations via Simple Delete Actions

We propose a framework for computer-assisted text editing. It applies to...
11/13/2017 ∙ by David Grangier, et al. ∙ 0 ∙ share

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Controllable Abstractive Summarization

Current models for document summarization ignore user preferences such a...
11/14/2017 ∙ by Angela Fan, et al. ∙ 0 ∙ share

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QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Deep learning for predicting or generating 3D human pose sequences is an...
05/16/2018 ∙ by Dario Pavllo, et al. ∙ 0 ∙ share

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Scaling Neural Machine Translation

Sequence to sequence learning models still require several days to reach...
06/01/2018 ∙ by Myle Ott, et al. ∙ 0 ∙ share

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Understanding Back-Translation at Scale

An effective method to improve neural machine translation with monolingu...
08/28/2018 ∙ by Sergey Edunov, et al. ∙ 0 ∙ share

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3D human pose estimation in video with temporal convolutions and semi-supervised training

In this work, we demonstrate that 3D poses in video can be effectively e...
11/28/2018 ∙ by Dario Pavllo, et al. ∙ 0 ∙ share

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Modeling Human Motion with Quaternion-based Neural Networks

Previous work on predicting or generating 3D human pose sequences regres...
01/21/2019 ∙ by Dario Pavllo, et al. ∙ 0 ∙ share

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fairseq: A Fast, Extensible Toolkit for Sequence Modeling

fairseq is an open-source sequence modeling toolkit that allows research...
04/01/2019 ∙ by Myle Ott, et al. ∙ 0 ∙ share

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Unsupervised Paraphrasing without Translation

Paraphrasing exemplifies the ability to abstract semantic content from s...
05/29/2019 ∙ by Aurko Roy, et al. ∙ 0 ∙ share

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Tagged Back-Translation

Recent work in Neural Machine Translation (NMT) has shown significant qu...
06/15/2019 ∙ by Isaac Caswell, et al. ∙ 0 ∙ share

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ELI5: Long Form Question Answering

We introduce the first large-scale corpus for long-form question answeri...
07/22/2019 ∙ by Angela Fan, et al. ∙ 0 ∙ share

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Translationese as a Language in "Multilingual" NMT

Machine translation has an undesirable propensity to produce "translatio...
11/10/2019 ∙ by Parker Riley, et al. ∙ 0 ∙ share

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David Grangier

Featured Co-authors

Jason Weston

Armand Joulin

Michael Auli

Marc'Aurelio Ranzato

Hervé Jégou

Edouard Grave

Leon Bottou

Myle Ott

Christoph Feichtenhofer

Angela Fan

Yann N. Dauphin

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Convolutional Sequence to Sequence Learning

Language Modeling with Gated Convolutional Networks

A Convolutional Encoder Model for Neural Machine Translation

Iterative Refinement for Machine Translation

Vocabulary Selection Strategies for Neural Machine Translation

Efficient softmax approximation for GPUs

Interactive Semantic Featuring for Text Classification

Neural Text Generation from Structured Data with Application to the Biography Domain

Strategies for Training Large Vocabulary Neural Language Models

Classical Structured Prediction Losses for Sequence to Sequence Learning

QuickEdit: Editing Text & Translations via Simple Delete Actions

Controllable Abstractive Summarization

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Scaling Neural Machine Translation

Understanding Back-Translation at Scale

3D human pose estimation in video with temporal convolutions and semi-supervised training

Modeling Human Motion with Quaternion-based Neural Networks

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Unsupervised Paraphrasing without Translation

Tagged Back-Translation

ELI5: Long Form Question Answering

Translationese as a Language in "Multilingual" NMT