David Grangier

According to our database1, David Grangier authored at least 69 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Specialized Language Models with Cheap Inference from Limited Domain Data.
CoRR, 2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.
CoRR, 2024

2023
AudioLM: A Language Modeling Approach to Audio Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Adaptive Training Distributions with Scalable Online Bilevel Optimization.
CoRR, 2023

Transfer Learning for Structured Pruning under Limited Task Data.
CoRR, 2023

2022
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics.
Trans. Assoc. Comput. Linguistics, 2022

High-Resource Methodological Bias in Low-Resource Investigations.
CoRR, 2022

AudioLM: a Language Modeling Approach to Audio Generation.
CoRR, 2022

On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning Strides in Convolutional Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Trade-offs of Domain Adaptation for Neural Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Natural Diet: Towards Improving Naturalness of Machine Translation Output.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Wavesplit: End-to-End Speech Separation by Speaker Clustering.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Efficient Content-Based Sparse Attention with Routing Transformers.
Trans. Assoc. Comput. Linguistics, 2021

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation.
Trans. Assoc. Comput. Linguistics, 2021

Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality.
CoRR, 2021

On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation.
CoRR, 2021

What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
CoRR, 2021

Auxiliary Task Update Decomposition: the Good, the Bad and the neutral.
Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Learning of General-Purpose Audio Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Modeling Human Motion with Quaternion-Based Neural Networks.
Int. J. Comput. Vis., 2020

Human-Paraphrased References Improve Neural Machine Translation.
Proceedings of the Fifth Conference on Machine Translation, 2020

BLEU might be Guilty but References are not Innocent.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Translationese as a Language in "Multilingual" NMT.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Toward Better Storylines with Sentence-Level Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Tagged Back-Translation.
Proceedings of the Fourth Conference on Machine Translation, 2019

fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Paraphrasing without Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ELI5: Long Form Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Scaling Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

QuickEdit: Editing Text & Translations by Crossing Words Out.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Classical Structured Prediction Losses for Sequence to Sequence Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Analyzing Uncertainty in Neural Machine Translation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding Back-Translation at Scale.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuaterNet: A Quaternion-based Recurrent Model for Human Motion.
Proceedings of the British Machine Vision Conference 2018, 2018

Controllable Abstractive Summarization.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

2017
QuickEdit: Editing Text & Translations via Simple Delete Actions.
CoRR, 2017

Efficient softmax approximation for GPUs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Convolutional Sequence to Sequence Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Language Modeling with Gated Convolutional Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Convolutional Encoder Model for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Iterative Refinement for Machine Translation.
CoRR, 2016

Generating Text from Structured Data with Application to the Biography Domain.
CoRR, 2016

Vocabulary Selection Strategies for Neural Machine Translation.
CoRR, 2016

Interactive Semantic Featuring for Text Classification.
CoRR, 2016

Predicting distributions with Linearizing Belief Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Neural Text Generation from Structured Data with Application to the Biography Domain.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Strategies for Training Large Vocabulary Neural Language Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014
GBC: Gradient boosting consensus model for heterogeneous data.
Stat. Anal. Data Min., 2014

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems.
CoRR, 2014

2012
Learning from Heterogeneous Sources via Gradient Boosting Consensus.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2010
Half Transductive Ranking.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning to rank with (a lot of) word features.
Inf. Retr., 2010

Feature Set Embedding for Incomplete Data.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Label Embedding Trees for Large Multi-Class Tasks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Discriminative keyword spotting.
Speech Commun., 2009

Polynomial Semantic Indexing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Supervised Semantic Indexing.
Proceedings of the Advances in Information Retrieval, 2009

Supervised semantic indexing.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
A Discriminative Kernel-Based Approach to Rank Images from Text Queries.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007
Learning the inter-frame distance for discriminative template-based keyword detection.
Proceedings of the INTERSPEECH 2007, 2007

2006
A Neural Network to Retrieve Images from Text Queries.
Proceedings of the Artificial Neural Networks, 2006

A Discriminative Approach for the Retrieval of Images from Text Queries.
Proceedings of the Machine Learning: ECML 2006, 2006

Learning to Retrieve Images from Text Queries with a Discriminative Model.
Proceedings of the Adaptive Multimedia Retrieval: User, 2006

2005
Effect of segmentation method on video retrieval performance.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Inferring document similarity from hyperlinks.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005


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