Discriminative clustering for image co-segmentation. - Armand Joulin; Francis R. Bach; Jean Ponce (CVPR, 2010)

Efficient Optimization for Discriminative Latent Class Models. - Armand Joulin; Francis R. Bach; Jean Ponce (NIPS, 2010)

A graph-matching kernel for object categorization. - Olivier Duchenne; Armand Joulin; Jean Ponce (ICCV, 2011)

Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. - Toby Hocking; Jean-Philippe Vert; Francis R. Bach; Armand Joulin (ICML, 2011)

Multi-class cosegmentation. - Armand Joulin; Francis R. Bach; Jean Ponce (CVPR, 2012)

A convex relaxation for weakly supervised classifiers. - Armand Joulin; Francis R. Bach (ICML, 2012)

Convex optimization for cosegmentation. (Optimization convexe pour cosegmentation). - Armand Joulin (2012)

Recovering Stereo Pairs from Anaglyphs. - Armand Joulin; Sing Bing Kang (CVPR, 2013)

Unsupervised Joint Object Discovery and Segmentation in Internet Images. - Michael Rubinstein; Armand Joulin; Johannes Kopf 001; Ce Liu 001 (CVPR, 2013)

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. - Sangmin Oh; A. G. Amitha Perera; Ilseo Kim; Megha Pandey; Kevin J. Cannons; Hossein Hajimirsadeghi; Arash Vahdat; Greg Mori; Ben Miller; Scott McCloskey; You-Chi Cheng; Zhen Huang 001; et al. (TRECVID, 2013)

Co-localization in Real-World Images. - Kevin D. Tang; Armand Joulin; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2014)

Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. - Armand Joulin; Kevin D. Tang; Li Fei-Fei 001 (ECCV (6), 2014)

Linking People in Videos with "Their" Names Using Coreference Resolution. - Vignesh Ramanathan; Armand Joulin; Percy Liang; Li Fei-Fei 001 (ECCV (1), 2014)

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. - Andrej Karpathy; Armand Joulin; Li Fei-Fei 001 (NIPS, 2014)

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. - Armand Joulin; Tomás Mikolov (NIPS, 2015)

Alternative structures for character-level RNNs. - Piotr Bojanowski; Armand Joulin; Tomás Mikolov (CoRR, 2015)

Learning Longer Memory in Recurrent Neural Networks. - Tomás Mikolov; Armand Joulin; Sumit Chopra; Michaël Mathieu; Marc'Aurelio Ranzato (ICLR (Workshop), 2015)

A Roadmap Towards Machine Intelligence. - Tomás Mikolov; Armand Joulin; Marco Baroni (CICLing (1), 2016)

Revisiting Visual Question Answering Baselines. - Allan Jabri; Armand Joulin; Laurens van der Maaten (ECCV (8), 2016)

Learning Visual Features from Large Weakly Supervised Data. - Armand Joulin; Laurens van der Maaten; Allan Jabri; Nicolas Vasilache (ECCV (7), 2016)

Learning Simple Algorithms from Examples. - Wojciech Zaremba; Tomás Mikolov; Armand Joulin; Rob Fergus (ICML, 2016)

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)

Learning Visual N-Grams from Web Data. - Ang Li; Allan Jabri; Armand Joulin; Laurens van der Maaten (ICCV, 2017)

CommAI: Evaluating the first steps towards a useful general AI. - Marco Baroni; Armand Joulin; Allan Jabri; Germán Kruszewski; Angeliki Lazaridou; Klemen Simonic; Tomás Mikolov (ICLR (Workshop), 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)

Unsupervised Learning by Predicting Noise. - Piotr Bojanowski; Armand Joulin (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)

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)

Deep Clustering for Unsupervised Learning of Visual Features. - Mathilde Caron; Piotr Bojanowski; Armand Joulin; Matthijs Douze (ECCV (14), 2018)

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

Optimizing the Latent Space of Generative Networks. - Piotr Bojanowski; Armand Joulin; David Lopez-Paz; Arthur Szlam (ICML, 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)

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)

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)

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

Unsupervised Pre-Training of Image Features on Non-Curated Data. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (ICCV, 2019)

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

Cooperative Learning of Disjoint Syntax and Semantics. - Serhii Havrylov; Germán Kruszewski; Armand Joulin (NAACL-HLT (1), 2019)

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2019)

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

Why Build an Assistant in Minecraft? - Arthur Szlam; Jonathan Gray; Kavya Srinet; Yacine Jernite; Armand Joulin; Gabriel Synnaeve; Douwe Kiela; Haonan Yu; Zhuoyuan Chen; Siddharth Goyal; Demi Guo; Danielle Rothermel; et al. (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)

Target Conditioning for One-to-Many Generation. - Marie-Anne Lachaux; Armand Joulin; Guillaume Lample (EMNLP (Findings), 2020)

Libri-Light: A Benchmark for ASR with Limited or No Supervision. - Jacob Kahn; Morgane Rivière; Weiyi Zheng; Evgeny Kharitonov; Qiantong Xu; Pierre-Emmanuel Mazaré; Julien Karadayi; Vitaliy Liptchinsky; Ronan Collobert; Christian Fuegen; Tatiana Likhomanenko; Gabriel Synnaeve; et al. (ICASSP, 2020)

Unsupervised Pretraining Transfers Well Across Languages. - Morgane Rivière; Armand Joulin; Pierre-Emmanuel Mazaré; Emmanuel Dupoux (ICASSP, 2020)

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

And the Bit Goes Down: Revisiting the Quantization of Neural Networks. - Pierre Stock; Armand Joulin; Rémi Gribonval; Benjamin Graham; Hervé Jégou (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)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. - Mathilde Caron; Ishan Misra; Julien Mairal; Priya Goyal; Piotr Bojanowski; Armand Joulin (NeurIPS, 2020)

Pruning Convolutional Neural Networks with Self-Supervision. - Mathilde Caron; Ari Morcos; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2020)

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

Learning to Visually Navigate in Photorealistic Environments Without any Supervision. - Lina Mezghani; Sainbayar Sukhbaatar; Arthur Szlam; Armand Joulin; Piotr Bojanowski (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)

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)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Armand Joulin; Nicolas Ballas; Michael G. Rabbat (ICCV, 2021)

Emerging Properties in Self-Supervised Vision Transformers. - Mathilde Caron; Hugo Touvron; Ishan Misra; Hervé Jégou; Julien Mairal; Piotr Bojanowski; Armand Joulin (ICCV, 2021)

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. - Benjamin Graham; Alaaeldin El-Nouby; Hugo Touvron; Pierre Stock; Armand Joulin; Hervé Jégou; Matthijs Douze (ICCV, 2021)

An End-to-End Transformer Model for 3D Object Detection. - Ishan Misra; Rohit Girdhar; Armand Joulin (ICCV, 2021)

Self-Supervised Pretraining of 3D Features on any Point-Cloud. - Zaiwei Zhang; Rohit Girdhar; Armand Joulin; Ishan Misra (ICCV, 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)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

Self-supervised Pretraining of Visual Features in the Wild. - Priya Goyal; Mathilde Caron; Benjamin Lefaudeux; Min Xu; Pengchao Wang; Vivek Pai; Mannat Singh; Vitaliy Liptchinsky; Ishan Misra; Armand Joulin; Piotr Bojanowski (CoRR, 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)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; 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)

Augmenting Convolutional networks with attention-based aggregation. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Piotr Bojanowski; Armand Joulin; Gabriel Synnaeve; Hervé Jégou (CoRR, 2021)

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. (J. Mach. Learn. Res., 2021)

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. - Xi Shen 001; Alexei A. Efros; Armand Joulin; Mathieu Aubry (CVPR Workshops, 2022)

Omnivore: A Single Model for Many Visual Modalities. - Rohit Girdhar; Mannat Singh; Nikhila Ravi; Laurens van der Maaten; Armand Joulin; Ishan Misra (CVPR, 2022)

Masked Siamese Networks for Label-Efficient Learning. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Florian Bordes; Pascal Vincent; Armand Joulin; Mike Rabbat; Nicolas Ballas (ECCV (31), 2022)

Detecting Twenty-Thousand Classes Using Image-Level Supervision. - Xingyi Zhou; Rohit Girdhar; Armand Joulin; Philipp Krähenbühl; Ishan Misra (ECCV (9), 2022)

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Priya Goyal; Quentin Duval; Isaac Seessel; Mathilde Caron; Ishan Misra; Levent Sagun; Armand Joulin; Piotr Bojanowski (CoRR, 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)

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)

ImageBind One Embedding Space to Bind Them All. - Rohit Girdhar; Alaaeldin El-Nouby; Zhuang Liu; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

OmniMAE: Single Model Masked Pretraining on Images and Videos. - Rohit Girdhar; Alaaeldin El-Nouby; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 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)

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)

Scalable Pre-training of Large Autoregressive Image Models. - Alaaeldin El-Nouby; Michal Klein; Shuangfei Zhai; Miguel Ángel Bautista 001; Vaishaal Shankar; Alexander T. Toshev; Joshua M. Susskind; Armand Joulin (ICML, 2024)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. - Xavier Suau; Pieter Delobelle; Katherine Metcalf; Armand Joulin; Nicholas Apostoloff; Luca Zappella; Pau Rodríguez (ICML, 2024)

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. - Aleksandar Botev; Soham De; Samuel L. Smith; Anushan Fernando; George-Cristian Muraru; Ruba Haroun; Leonard Berrada; Razvan Pascanu; Pier Giuseppe Sessa; Robert Dadashi; Léonard Hussenot; Johan Ferret; et al. (CoRR, 2024)

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. - Théo Moutakanni; Piotr Bojanowski; Guillaume Chassagnon; Céline Hudelot; Armand Joulin; Yann LeCun; Matthew J. Muckley; Maxime Oquab; Marie-Pierre Revel; Maria Vakalopoulou (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 2024)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. - Huy V. Vo; Vasil Khalidov; Timothée Darcet; Théo Moutakanni; Nikita Smetanin; Marc Szafraniec; Hugo Touvron; Camille Couprie; Maxime Oquab; Armand Joulin; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation. - Biao Zhang; Fedor Moiseev; Joshua Ainslie; Paul Suganthan; Min Ma; Surya Bhupatiraju; Federico Lebrón; Orhan Firat; Armand Joulin; Zhe Dong (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)