Trace Lasso: a trace norm regularization for correlated designs. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (NIPS, 2011)

Hidden Markov tree models for semantic class induction. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (CoNLL, 2013)

Domain adaptation for sequence labeling using hidden Markov models. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (CoRR, 2013)

A Markovian approach to distributional semantics with application to semantic compositionality. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (COLING, 2014)

A convex relaxation for weakly supervised relation extraction. - Edouard Grave (EMNLP, 2014)

A Markovian approach to distributional semantics. (Une approche Markovienne à la sémantique distributionnelle). - Edouard Grave (2014)

A convex and feature-rich discriminative approach to dependency grammar induction. - Edouard Grave; Noémie Elhadad (ACL (1), 2015)

Weakly-Supervised Alignment of Video with Text. - Piotr Bojanowski; Rémi Lajugie; Edouard Grave; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid (ICCV, 2015)

Learning probabilistic phenotypes from heterogeneous EHR data. - Rimma Pivovarov; Adler J. Perotte; Edouard Grave; John Angiolillo; Chris H. Wiggins 001; Noémie Elhadad (J. Biomed. Informatics, 2015)

FastText.zip: Compressing text classification models. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Matthijs Douze; Hervé Jégou; Tomás Mikolov (CoRR, 2016)

Fast Linear Model for Knowledge Graph Embeddings. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Maximilian Nickel; Tomás Mikolov (AKBC@NIPS, 2017)

Bag of Tricks for Efficient Text Classification. - Armand Joulin; Edouard Grave; Piotr Bojanowski; Tomás Mikolov (EACL (2), 2017)

Improving Neural Language Models with a Continuous Cache. - Edouard Grave; Armand Joulin; Nicolas Usunier (ICLR (Poster), 2017)

Variable Computation in Recurrent Neural Networks. - Yacine Jernite; Edouard Grave; Armand Joulin; Tomás Mikolov (ICLR (Poster), 2017)

Parseval Networks: Improving Robustness to Adversarial Examples. - Moustapha Cissé; Piotr Bojanowski; Edouard Grave; Yann N. Dauphin; Nicolas Usunier (ICML, 2017)

Efficient softmax approximation for GPUs. - Edouard Grave; Armand Joulin; Moustapha Cissé; David Grangier; Hervé Jégou (ICML, 2017)

Unbounded cache model for online language modeling with open vocabulary. - Edouard Grave; Moustapha Cissé; Armand Joulin (NIPS, 2017)

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. - Shaodian Zhang; Edouard Grave; Elizabeth Sklar; Noémie Elhadad (J. Biomed. Informatics, 2017)

Enriching Word Vectors with Subword Information. - Piotr Bojanowski; Edouard Grave; Armand Joulin; Tomás Mikolov (Trans. Assoc. Comput. Linguistics, 2017)

Efficient Large-Scale Multi-Modal Classification. - Douwe Kiela; Edouard Grave; Armand Joulin; Tomás Mikolov (AAAI, 2018)

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. - Armand Joulin; Piotr Bojanowski; Tomás Mikolov; Hervé Jégou; Edouard Grave (EMNLP, 2018)

Learning Word Vectors for 157 Languages. - Edouard Grave; Piotr Bojanowski; Prakhar Gupta; Armand Joulin; Tomás Mikolov (LREC, 2018)

Advances in Pre-Training Distributed Word Representations. - Tomás Mikolov; Edouard Grave; Piotr Bojanowski; Christian Puhrsch; Armand Joulin (LREC, 2018)

Colorless Green Recurrent Networks Dream Hierarchically. - Kristina Gulordava; Piotr Bojanowski; Edouard Grave; Tal Linzen; Marco Baroni (NAACL-HLT, 2018)

Lightweight Adaptive Mixture of Neural and N-gram Language Models. - Anton Bakhtin; Arthur Szlam; Marc'Aurelio Ranzato; Edouard Grave (CoRR, 2018)

Improving Supervised Bilingual Mapping of Word Embeddings. - Armand Joulin; Piotr Bojanowski; Tomás Mikolov; Edouard Grave (CoRR, 2018)

Unsupervised Hyperalignment for Multilingual Word Embeddings. - Jean Alaux; Edouard Grave; Marco Cuturi; Armand Joulin (CoRR, 2018)

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. - Samuel R. Bowman; Ellie Pavlick; Edouard Grave; Benjamin Van Durme; Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; et al. (CoRR, 2018)

Training Hybrid Language Models by Marginalizing over Segmentations. - Edouard Grave; Sainbayar Sukhbaatar; Piotr Bojanowski; Armand Joulin (ACL (1), 2019)

Adaptive Attention Span in Transformers. - Sainbayar Sukhbaatar; Edouard Grave; Piotr Bojanowski; Armand Joulin (ACL (1), 2019)

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. - Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; Yinghui Huang; Katherin Yu; Shuning Jin; Berlin Chen; et al. (ACL (1), 2019)

Unsupervised Alignment of Embeddings with Wasserstein Procrustes. - Edouard Grave; Armand Joulin; Quentin Berthet (AISTATS, 2019)

Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. - Paula Czarnowska; Sebastian Ruder; Edouard Grave; Ryan Cotterell; Ann A. Copestake (EMNLP/IJCNLP (1), 2019)

Unsupervised Hyper-alignment for Multilingual Word Embeddings. - Jean Alaux; Edouard Grave; Marco Cuturi; Armand Joulin (ICLR (Poster), 2019)

Misspelling Oblivious Word Embeddings. - Bora Edizel; Aleksandra Piktus; Piotr Bojanowski; Rui Ferreira; Edouard Grave; Fabrizio Silvestri (NAACL-HLT (1), 2019)

Augmenting Self-attention with Persistent Memory. - Sainbayar Sukhbaatar; Edouard Grave; Guillaume Lample; Hervé Jégou; Armand Joulin (CoRR, 2019)

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. - Piotr Bojanowski; Onur Celebi; Tomás Mikolov; Edouard Grave; Armand Joulin (CoRR, 2019)

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. - Holger Schwenk; Guillaume Wenzek; Sergey Edunov; Edouard Grave; Armand Joulin (CoRR, 2019)

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. - Gabriel Synnaeve; Qiantong Xu; Jacob Kahn; Edouard Grave; Tatiana Likhomanenko; Vineel Pratap; Anuroop Sriram; Vitaliy Liptchinsky; Ronan Collobert (CoRR, 2019)

Unsupervised Cross-lingual Representation Learning at Scale. - Alexis Conneau; Kartikay Khandelwal; Naman Goyal 001; Vishrav Chaudhary; Guillaume Wenzek; Francisco Guzmán; Edouard Grave; Myle Ott; Luke Zettlemoyer; Veselin Stoyanov (ACL, 2020)

Depth-Adaptive Transformer. - Maha Elbayad; Jiatao Gu; Edouard Grave; Michael Auli (ICLR, 2020)

Reducing Transformer Depth on Demand with Structured Dropout. - Angela Fan; Edouard Grave; Armand Joulin (ICLR, 2020)

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. - Guillaume Wenzek; Marie-Anne Lachaux; Alexis Conneau; Vishrav Chaudhary; Francisco Guzmán; Armand Joulin; Edouard Grave (LREC, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. - Angela Fan; Thibaut Lavril; Edouard Grave; Armand Joulin; Sainbayar Sukhbaatar (CoRR, 2020)

Beyond English-Centric Multilingual Machine Translation. - Angela Fan; Shruti Bhosale; Holger Schwenk; Zhiyi Ma; Ahmed El-Kishky; Siddharth Goyal; Mandeep Baines; Onur Celebi; Guillaume Wenzek; Vishrav Chaudhary; Naman Goyal 001; Tom Birch; et al. (CoRR, 2020)

A Memory Efficient Baseline for Open Domain Question Answering. - Gautier Izacard; Fabio Petroni; Lucas Hosseini; Nicola De Cao; Sebastian Riedel 001; Edouard Grave (CoRR, 2020)

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. - Holger Schwenk; Guillaume Wenzek; Sergey Edunov; Edouard Grave; Armand Joulin; Angela Fan (ACL/IJCNLP (1), 2021)

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. - Gautier Izacard; Edouard Grave (EACL, 2021)

Distilling Knowledge from Reader to Retriever for Question Answering. - Gautier Izacard; Edouard Grave (ICLR, 2021)

Training with Quantization Noise for Extreme Model Compression. - Pierre Stock; Angela Fan; Benjamin Graham; Edouard Grave; Rémi Gribonval; Hervé Jégou; Armand Joulin (ICLR, 2021)

Self-training Improves Pre-training for Natural Language Understanding. - Jingfei Du; Edouard Grave; Beliz Gunel; Vishrav Chaudhary; Onur Celebi; Michael Auli; Veselin Stoyanov; Alexis Conneau (NAACL-HLT, 2021)

ResMLP: Feedforward networks for image classification with data-efficient training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (CoRR, 2021)

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. - Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Dmytro Okhonko; Samuel Broscheit; Gautier Izacard; Patrick Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alaaeldin El-Nouby; Gautier Izacard; Hugo Touvron; Ivan Laptev; Hervé Jégou; Edouard Grave (CoRR, 2021)

Flashlight: Enabling Innovation in Tools for Machine Learning. - Jacob D. Kahn; Vineel Pratap; Tatiana Likhomanenko; Qiantong Xu; Awni Y. Hannun; Jeff Cai; Paden Tomasello; Ann Lee 001; Edouard Grave; Gilad Avidov; Benoit Steiner; Vitaliy Liptchinsky; et al. (ICML, 2022)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (CoRR, 2022)

EditEval: An Instruction-Based Benchmark for Text Improvements. - Jane Dwivedi-Yu; Timo Schick; Zhengbao Jiang; Maria Lomeli; Patrick Lewis 001; Gautier Izacard; Edouard Grave; Sebastian Riedel 001; Fabio Petroni (CoRR, 2022)

Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (Trans. Mach. Learn. Res., 2022)

PEER: A Collaborative Language Model. - Timo Schick; Jane A. Yu; Zhengbao Jiang; Fabio Petroni; Patrick Lewis 001; Gautier Izacard; Qingfei You; Christoforos Nalmpantis; Edouard Grave; Sebastian Riedel 001 (ICLR, 2023)

LLaMA: Open and Efficient Foundation Language Models. - Hugo Touvron; Thibaut Lavril; Gautier Izacard; Xavier Martinet; Marie-Anne Lachaux; Timothée Lacroix; Baptiste Rozière; Naman Goyal 001; Eric Hambro; Faisal Azhar; Aurélien Rodriguez; Armand Joulin; et al. (CoRR, 2023)

PaSS: Parallel Speculative Sampling. - Giovanni Monea; Armand Joulin; Edouard Grave (CoRR, 2023)

Atlas: Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (J. Mach. Learn. Res., 2023)

Augmented Language Models: a Survey. - Grégoire Mialon; Roberto Dessì; Maria Lomeli; Christoforos Nalmpantis; Ramakanth Pasunuru; Roberta Raileanu; Baptiste Rozière; Timo Schick; Jane Dwivedi-Yu; Asli Celikyilmaz; Edouard Grave; Yann LeCun; et al. (Trans. Mach. Learn. Res., 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)

Time Sensitive Knowledge Editing through Efficient Finetuning. - Xiou Ge; Ali Mousavi 003; Edouard Grave; Armand Joulin; Kun Qian 002; Benjamin Han; Mostafa Arefiyan; Yunyao Li 001 (ACL (Short Papers), 2024)

Moshi: a speech-text foundation model for real-time dialogue. - Alexandre Défossez; Laurent Mazaré; Manu Orsini; Amélie Royer; Patrick Pérez; Hervé Jégou; Edouard Grave; Neil Zeghidour (CoRR, 2024)

Neutral residues: revisiting adapters for model extension. - Franck Signe Talla; Hervé Jégou; Edouard Grave (CoRR, 2024)

High-Fidelity Simultaneous Speech-To-Speech Translation. - Tom Labiausse; Laurent Mazaré; Edouard Grave; Patrick Pérez; Alexandre Défossez; Neil Zeghidour (CoRR, 2025)