Armand Joulin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 122

Top Venues

CoRR

ICCV

ICML

CVPR

École normale supérieure de Cachan, France (PHD)

Education History

École normale supérieure de Cachan, France

PHD

Publications

Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR (2024)
Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR (2024)
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, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)
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, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR (2024)
Huy Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR (2024)
Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR (2024)
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
Scalable Pre-training of Large Autoregressive Image Models. CoRR (2024)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. CoRR (2023)
Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
OmniMAE: Single Model Masked Pretraining on Images and Videos. CVPR (2023)
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample
LLaMA: Open and Efficient Foundation Language Models. CoRR (2023)
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
ImageBind: One Embedding Space To Bind Them All. CoRR (2023)
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR (2023)
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV (2023)
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
ImageBind One Embedding Space to Bind Them All. CVPR (2023)
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24 (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5 (10) (2023)
Giovanni Monea, Armand Joulin, Edouard Grave
PaSS: Parallel Speculative Sampling. CoRR (2023)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) (2022)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. CoRR (2022)
Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR (2022)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia Verifiability with AI. CoRR (2022)
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops (2022)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) (2022)
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Few-shot Learning with Retrieval Augmented Language Models. CoRR (2022)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022)
Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra
Omnivore: A Single Model for Many Visual Modalities. CVPR (2022)
Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra
Omnivore: A Single Model for Many Visual Modalities. CoRR (2022)
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR (2022)
Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
OmniMAE: Single Model Masked Pretraining on Images and Videos. CoRR (2022)
Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. NeurIPS (2021)
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. ACL/IJCNLP (1) (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. ICCV (2021)
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. CoRR (2021)
Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR (2021)
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
Beyond English-Centric Multilingual Machine Translation. J. Mach. Learn. Res. 22 (2021)
Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
Self-Supervised Pretraining of 3D Features on any Point-Cloud. CoRR (2021)
Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
Self-supervised Pretraining of Visual Features in the Wild. CoRR (2021)
Ishan Misra, Rohit Girdhar, Armand Joulin
An End-to-End Transformer Model for 3D Object Detection. CoRR (2021)
Ishan Misra, Rohit Girdhar, Armand Joulin
An End-to-End Transformer Model for 3D Object Detection. ICCV (2021)
Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. ICLR (2021)
Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou
Augmenting Convolutional networks with attention-based aggregation. CoRR (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR (2021)
Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
Self-Supervised Pretraining of 3D Features on any Point-Cloud. ICCV (2021)
Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. CoRR (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. CoRR (2021)
Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. ICCV (2021)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR (2021)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR (2021)
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. CoRR (2020)
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, Edouard Grave, Michael Auli, Armand Joulin
Beyond English-Centric Multilingual Machine Translation. CoRR (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR (2020)
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS (2020)
Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR (2020)
Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux
Unsupervised Pretraining Transfers Well Across Languages. ICASSP (2020)
Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR (2020)
Angela Fan, Edouard Grave, Armand Joulin
Reducing Transformer Depth on Demand with Structured Dropout. ICLR (2020)
Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux
Unsupervised pretraining transfers well across languages. CoRR (2020)
Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
Pruning Convolutional Neural Networks with Self-Supervision. CoRR (2020)
Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
Target Conditioning for One-to-Many Generation. EMNLP (Findings) (2020)
Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
Target Conditioning for One-to-Many Generation. CoRR (2020)
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, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR (2019)
Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston
Why Build an Assistant in Minecraft? CoRR (2019)
Serhii Havrylov, Germán Kruszewski, Armand Joulin
Cooperative Learning of Disjoint Syntax and Semantics. NAACL-HLT (1) (2019)
Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) (2019)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV (2019)
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
Adaptive Attention Span in Transformers. ACL (1) (2019)
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin
Augmenting Self-attention with Persistent Memory. CoRR (2019)
Serhii Havrylov, Germán Kruszewski, Armand Joulin
Cooperative Learning of Disjoint Syntax and Semantics. CoRR (2019)
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) (2019)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR (2019)
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR (2019)
Angela Fan, Edouard Grave, Armand Joulin
Reducing Transformer Depth on Demand with Structured Dropout. CoRR (2019)
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, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR (2019)
Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR (2019)
Edouard Grave, Armand Joulin, Quentin Berthet
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS (2019)
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR (2019)
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
Adaptive Attention Span in Transformers. CoRR (2019)
Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
Optimizing the Latent Space of Generative Networks. ICML (2018)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. CoRR (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. CoRR (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP (2018)
Edouard Grave, Armand Joulin, Quentin Berthet
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR (2018)
Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR (2018)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. LREC (2018)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. LREC (2018)
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
Deep Clustering for Unsupervised Learning of Visual Features. CoRR (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. AAAI (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR (2018)
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) (2018)
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5 (2017)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. CoRR (2017)
Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
Learning Visual N-Grams from Web Data. ICCV (2017)
Edouard Grave, Moustapha Cissé, Armand Joulin
Unbounded cache model for online language modeling with open vocabulary. NIPS (2017)
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
CommAI: Evaluating the first steps towards a useful general AI. ICLR (Workshop) (2017)
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
CommAI: Evaluating the first steps towards a useful general AI. CoRR (2017)

Armand Joulin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Armand Joulin