Edouard Grave

According to our database1, Edouard Grave authored at least 68 papers between 2011 and 2023.

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Bibliography

2023
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell., October, 2023

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Atlas: Few-shot Learning with Retrieval Augmented Language Models.
J. Mach. Learn. Res., 2023

PaSS: Parallel Speculative Sampling.
CoRR, 2023

LLaMA: Open and Efficient Foundation Language Models.
CoRR, 2023

Augmented Language Models: a Survey.
CoRR, 2023

PEER: A Collaborative Language Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Unsupervised Dense Information Retrieval with Contrastive Learning.
Trans. Mach. Learn. Res., 2022

EditEval: An Instruction-Based Benchmark for Text Improvements.
CoRR, 2022

Few-shot Learning with Retrieval Augmented Language Models.
CoRR, 2022

Improving Wikipedia Verifiability with AI.
CoRR, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
CoRR, 2021

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.
CoRR, 2021

Towards Unsupervised Dense Information Retrieval with Contrastive Learning.
CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.
CoRR, 2021

Self-training Improves Pre-training for Natural Language Understanding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Training with Quantization Noise for Extreme Model Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

Distilling Knowledge from Reader to Retriever for Question Answering.
Proceedings of the 9th International Conference on Learning Representations, 2021

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Memory Efficient Baseline for Open Domain Question Answering.
CoRR, 2020

Beyond English-Centric Multilingual Machine Translation.
CoRR, 2020

Accessing Higher-level Representations in Sequential Transformers with Feedback Memory.
CoRR, 2020


CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Reducing Transformer Depth on Demand with Structured Dropout.
Proceedings of the 8th International Conference on Learning Representations, 2020

Depth-Adaptive Transformer.
Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Cross-lingual Representation Learning at Scale.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures.
CoRR, 2019

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB.
CoRR, 2019

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment.
CoRR, 2019

Augmenting Self-attention with Persistent Memory.
CoRR, 2019

Misspelling Oblivious Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Hyper-alignment for Multilingual Word Embeddings.
Proceedings of the 7th International Conference on Learning Representations, 2019

Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Alignment of Embeddings with Wasserstein Procrustes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Adaptive Attention Span in Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Training Hybrid Language Models by Marginalizing over Segmentations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
CoRR, 2018

Unsupervised Hyperalignment for Multilingual Word Embeddings.
CoRR, 2018

Improving Supervised Bilingual Mapping of Word Embeddings.
CoRR, 2018

Lightweight Adaptive Mixture of Neural and N-gram Language Models.
CoRR, 2018

Colorless Green Recurrent Networks Dream Hierarchically.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Advances in Pre-Training Distributed Word Representations.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Word Vectors for 157 Languages.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient Large-Scale Multi-Modal Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Enriching Word Vectors with Subword Information.
Trans. Assoc. Comput. Linguistics, 2017

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.
J. Biomed. Informatics, 2017

Unbounded cache model for online language modeling with open vocabulary.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

Variable Computation in Recurrent Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Improving Neural Language Models with a Continuous Cache.
Proceedings of the 5th International Conference on Learning Representations, 2017

Bag of Tricks for Efficient Text Classification.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Fast Linear Model for Knowledge Graph Embeddings.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
FastText.zip: Compressing text classification models.
CoRR, 2016

2015
Learning probabilistic phenotypes from heterogeneous EHR data.
J. Biomed. Informatics, 2015

Weakly-Supervised Alignment of Video with Text.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A convex and feature-rich discriminative approach to dependency grammar induction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A Markovian approach to distributional semantics. (Une approche Markovienne à la sémantique distributionnelle).
PhD thesis, 2014

A convex relaxation for weakly supervised relation extraction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Markovian approach to distributional semantics with application to semantic compositionality.
Proceedings of the COLING 2014, 2014

2013
Domain adaptation for sequence labeling using hidden Markov models.
CoRR, 2013

Hidden Markov tree models for semantic class induction.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2011
Trace Lasso: a trace norm regularization for correlated designs.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011


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