Joulin, Armand

53 publications

TMLR 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, Herve Jegou, Patrick Labatut, Piotr Bojanowski

TMLR 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, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

ICML 2024 Scalable Pre-Training of Large Autoregressive Image Models Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, 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 Rodriguez

JMLR 2023 Atlas: Few-Shot Learning with Retrieval Augmented Language Models Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave

CVPR 2023 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

ICCV 2023 The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollar, Christoph Feichtenhofer, Ross Girshick, Rohit Girdhar, Ishan Misra

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

CVPRW 2022 Learning Co-Segmentation by Segment Swapping for Retrieval and Discovery Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry

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

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

TMLR 2022 Unsupervised Dense Information Retrieval with Contrastive Learning Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

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

JMLR 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, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, Armand Joulin

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 Self-Supervised Pretraining of 3D Features on Any Point-Cloud Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra

ICCV 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 Rabbat

ICLR 2021 Training with Quantization Noise for Extreme Model Compression Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Herve Jegou, Armand Joulin

NeurIPS 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 J. Verbeek, Herve Jegou

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 Reducing Transformer Depth on Demand with Structured Dropout Angela Fan, Edouard Grave, Armand Joulin

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

AISTATS 2019 Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave, Armand Joulin, Quentin Berthet

ICLR 2019 Unsupervised Hyper-Alignment for Multilingual Word Embeddings Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin

ECCV 2018 Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze

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

ICML 2018 Optimizing the Latent Space of Generative Networks Piotr Bojanowski, Armand Joulin, David Lopez-Pas, Arthur Szlam

ICLR 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

ICML 2017 Efficient SoftMax Approximation for GPUs Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou

ICLR 2017 Improving Neural Language Models with a Continuous Cache Edouard Grave, Armand Joulin, Nicolas Usunier

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

NeurIPS 2017 Unbounded Cache Model for Online Language Modeling with Open Vocabulary Edouard Grave, Moustapha M Cisse, Armand Joulin

ICML 2017 Unsupervised Learning by Predicting Noise Piotr Bojanowski, Armand Joulin

ICLR 2017 Variable Computation in Recurrent Neural Networks Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov

ICML 2016 Learning Simple Algorithms from Examples Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus

ECCV 2016 Learning Visual Features from Large Weakly Supervised Data Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache

ECCV 2016 Revisiting Visual Question Answering Baselines Allan Jabri, Armand Joulin, Laurens van der Maaten

NeurIPS 2015 Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets Armand Joulin, Tomas Mikolov

ICLR 2015 Learning Longer Memory in Recurrent Neural Networks Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato

CVPR 2014 Co-Localization in Real-World Images Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

NeurIPS 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping Andrej Karpathy, Armand Joulin, Li F Fei-Fei

ECCV 2014 Efficient Image and Video Co-Localization with Frank-Wolfe Algorithm Armand Joulin, Kevin D. Tang, Li Fei-Fei

ECCV 2014 Linking People in Videos with "Their" Names Using Coreference Resolution Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei

CVPR 2013 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, Ce Liu

ICML 2012 A Convex Relaxation for Weakly Supervised Classifiers Armand Joulin, Francis R. Bach

CVPR 2012 Multi-Class Cosegmentation Armand Joulin, Francis R. Bach, Jean Ponce

ICCV 2011 A Graph-Matching Kernel for Object Categorization Olivier Duchenne, Armand Joulin, Jean Ponce

ICML 2011 Clusterpath: An Algorithm for Clustering Using Convex Fusion Penalties Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin

CVPR 2010 Discriminative Clustering for Image Co-Segmentation Armand Joulin, Francis R. Bach, Jean Ponce

NeurIPS 2010 Efficient Optimization for Discriminative Latent Class Models Armand Joulin, Jean Ponce, Francis R. Bach