---
title: "Armand Joulin — all works — Elamur Research"
description: "All 35 works of Armand Joulin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/armand-joulin/works/"
---
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# Armand Joulin — all works

35 works · [← Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/)

1. **[Enriching Word Vectors with Subword Information](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Bojanowski, Edouard Grave, Armand Joulin, et al.*2017 · 11,873 citations*
2. [**LLaMA: Open and Efficient Foundation Language Models arXiv:2302.13971**Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al.*2023 · 9,603 citations*](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-open-efficient-foundation-language/)
3. **[Emerging Properties in Self-Supervised Vision Transformers](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/) [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/)**Mathilde Caron, Hugo Touvron, Ishan Misra, et al.*2021 · 6,046 citations*
4. **[Bag of Tricks for Efficient Text Classification ↗](https://aclanthology.org/E17-2068/) Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers · no summary yet**Armand Joulin et al.*2017 · 5,325 citations*
5. **[Gemma: Open Models Based on Gemini Research and Technology ↗](https://arxiv.org/abs/2403.08295) arXiv:2403.08295 · no summary yet**Gemma Team et al.*2024 · 1,313 citations*
6. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
7. [**FastText.zip: Compressing text classification models arXiv:1612.03651**Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.*2016 · 1,219 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2016-fasttext-zip-compressing-text-classification/)
8. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
9. **[ImageBind: One Embedding Space To Bind Them All](https://md.research.elamur.ai/free/en/papers/girdhar-2023-imagebind-one-embedding-space-bind/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.*2023 · 954 citations*
10. **[LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference ↗](https://doi.org/10.1109/iccv48922.2021.01204) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Benjamin Graham et al.*2021 · 908 citations*
11. [**Unsupervised Dense Information Retrieval with Contrastive Learning arXiv:2112.09118**Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.*2021 · 836 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-unsupervised-dense-information-retrieval-contrastive/)
12. [**Atlas: Few-shot Learning with Retrieval Augmented Language Models arXiv:2208.03299**Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.*2022 · 673 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2022-atlas-few-shot-learning-retrieval/)
13. **[CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 666 citations*
14. **[Learning Word Vectors for 157 Languages](https://md.research.elamur.ai/free/en/papers/grave-2018-learning-word-vectors-157-languages/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.*2018 · 646 citations*
15. **[Advances in Pre-Training Distributed Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2017-advances-pre-training-distributed-word/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomas Mikolov, Edouard Grave, Piotr Bojanowski, et al.*2017 · 628 citations*
16. [**Reducing Transformer Depth on Demand with Structured Dropout arXiv:1909.11556**Angela Fan, Edouard Grave, Armand Joulin*2019 · 560 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-reducing-transformer-depth-demand-structured/)
17. [**Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks**Jason Weston, Antoine Bordes, Sumit Chopra, et al.*Mova's core list · 555 citations*](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)
18. **[An End-to-End Transformer Model for 3D Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00290) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ishan Misra, Rohit Girdhar, Armand Joulin*2021 · 515 citations*
19. **[Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 479 citations*
20. **[Adaptive Attention Span in Transformers](https://md.research.elamur.ai/free/en/papers/sukhbaatar-2019-adaptive-attention-span-transformers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, et al.*2019 · 367 citations*
21. **[Unsupervised Joint Object Discovery and Segmentation in Internet Images ↗](https://doi.org/10.1109/cvpr.2013.253) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Michael Rubinstein et al.*2013 · 362 citations*
22. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB arXiv:1911.04944**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 358 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
23. **[Self-Supervised Pretraining of 3D Features on any Point-Cloud ↗](https://doi.org/10.1109/iccv48922.2021.01009) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zaiwei Zhang et al.*2021 · 282 citations*
24. **[Unsupervised Pre-Training of Image Features on Non-Curated Data ↗](https://doi.org/10.1109/iccv.2019.00305) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mathilde Caron et al.*2019 · 262 citations*
25. [**Efficient softmax approximation for GPUs arXiv:1609.04309**Edouard Grave, Armand Joulin, Moustapha Cisse, et al.*2016 · 205 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)
26. **[Omnivore: A Single Model for Many Visual Modalities ↗](https://doi.org/10.1109/cvpr52688.2022.01563) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Rohit Girdhar et al.*2022 · 204 citations*
27. **[Improving Neural Language Models with a Continuous Cache ↗](https://arxiv.org/abs/1612.04426) arXiv:1612.04426 · no summary yet**Edouard Grave, Armand Joulin, Nicolas Usunier*2016 · 179 citations*
28. **[MedGemma Technical Report ↗](https://arxiv.org/abs/2507.05201) arXiv:2507.05201 · no summary yet**Andrew Sellergren et al.*2025 · 150 citations*
29. **[Linking People in Videos with “Their” Names Using Coreference Resolution ↗](https://doi.org/10.1007/978-3-319-10590-1_7) Lecture notes in computer science · no summary yet**Vignesh Ramanathan et al.*2014 · 103 citations*
30. **[Augmenting Self-attention with Persistent Memory ↗](https://arxiv.org/abs/1907.01470) arXiv (Cornell University) · no summary yet**Sainbayar Sukhbaatar et al.*2019 · 84 citations*
31. **[The effectiveness of MAE pre-pretraining for billion-scale pretraining ↗](https://doi.org/10.1109/iccv51070.2023.00505) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mannat Singh et al.*2023 · 56 citations*
32. **[Learning Simple Algorithms from Examples ↗](https://arxiv.org/abs/1511.07275) arXiv (Cornell University) · no summary yet**Wojciech Zaremba et al.*2015 · 41 citations*
33. **[RecurrentGemma: Moving Past Transformers for Efficient Open Language Models ↗](https://arxiv.org/abs/2404.07839) arXiv (Cornell University) · no summary yet**Aleksandar Botev et al.*2024 · 22 citations*
34. **[Target Conditioning for One-to-Many Generation ↗](https://aclanthology.org/2020.findings-emnlp.256/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Marie-Anne Lachaux, Armand Joulin, Guillaume Lample*2020 · 17 citations*
35. **[CommAI: Evaluating the first steps towards a useful general AI ↗](https://arxiv.org/abs/1701.08954) arXiv:1701.08954 · no summary yet**Marco Baroni et al.*2017 · 12 citations*