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2020 – today
- 2024
[j7]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)- [c65]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. ACL (Short Papers) 2024: 583-593 - [c64]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. ICML 2024 - [c63]Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez:
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. ICML 2024 - [i74]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 abs/2401.08541 (2024) - [i73]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 abs/2404.07839 (2024) - [i72]Théo Moutakanni
, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou:
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR abs/2405.01469 (2024) - [i71]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, Piotr Bojanowski:
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR abs/2405.15613 (2024) - [i70]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR abs/2406.04496 (2024) - [i69]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 abs/2407.12824 (2024) - 2023
- [j6]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: 251:1-251:43 (2023) - [j5]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): 1142-1148 (2023) - [j4]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): 5314-5321 (2023) - [c62]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: 10406-10417 - [c61]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: 15180-15190 - [c60]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: 5461-5471 - [i68]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 abs/2302.13971 (2023) - [i67]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 abs/2303.13496 (2023) - [i66]Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. 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 abs/2304.07193 (2023) - [i65]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 abs/2305.05665 (2023) - [i64]Giovanni Monea, Armand Joulin, Edouard Grave:
PaSS: Parallel Speculative Sampling. CoRR abs/2311.13581 (2023) - 2022
- [j3]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) - [c59]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops 2022: 5078-5088 - [c58]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CVPR 2022: 16081-16091 - [c57]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) 2022: 350-368 - [c56]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: 456-473 - [i63]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR abs/2201.02605 (2022) - [i62]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CoRR abs/2201.08377 (2022) - [i61]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 abs/2202.08360 (2022) - [i60]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 abs/2204.07141 (2022) - [i59]Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
OmniMAE: Single Model Masked Pretraining on Images and Videos. CoRR abs/2206.08356 (2022) - [i58]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. 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 abs/2207.06220 (2022) - [i57]Gautier Izacard, Patrick S. H. 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 abs/2208.03299 (2022) - 2021
- [j2]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: 107:1-107:48 (2021) - [c55]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: 6490-6500 - [c54]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. ICCV 2021: 2886-2897 - [c53]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: 8423-8432 - [c52]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. ICCV 2021: 9630-9640 - [c51]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. ICCV 2021: 10232-10243 - [c50]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: 12239-12249 - [c49]Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. ICLR 2021 - [c48]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: 20014-20027 - [i56]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. CoRR abs/2101.02691 (2021) - [i55]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 abs/2103.01988 (2021) - [i54]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 abs/2104.01136 (2021) - [i53]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 abs/2104.13963 (2021) - [i52]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. CoRR abs/2104.14294 (2021) - [i51]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 abs/2105.03404 (2021) - [i50]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 abs/2106.09681 (2021) - [i49]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. CoRR abs/2109.08141 (2021) - [i48]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR abs/2110.15904 (2021) - [i47]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR abs/2112.09118 (2021) - [i46]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou:
Augmenting Convolutional networks with attention-based aggregation. CoRR abs/2112.13692 (2021) - 2020
- [c47]Marie-Anne Lachaux, Armand Joulin, Guillaume Lample:
Target Conditioning for One-to-Many Generation. EMNLP (Findings) 2020: 2853-2862 - [c46]Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux:
Unsupervised Pretraining Transfers Well Across Languages. ICASSP 2020: 7414-7418 - [c45]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: 7669-7673 - [c44]Angela Fan, Edouard Grave, Armand Joulin:
Reducing Transformer Depth on Demand with Structured Dropout. ICLR 2020 - [c43]Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou:
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR 2020 - [c42]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: 4003-4012 - [c41]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS 2020 - [i45]Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Pruning Convolutional Neural Networks with Self-Supervision. CoRR abs/2001.03554 (2020) - [i44]Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux:
Unsupervised pretraining transfers well across languages. CoRR abs/2002.02848 (2020) - [i43]Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar:
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR abs/2002.09402 (2020) - [i42]Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski:
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR abs/2004.04954 (2020) - [i41]Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. CoRR abs/2004.07320 (2020) - [i40]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR abs/2006.09882 (2020) - [i39]Marie-Anne Lachaux, Armand Joulin, Guillaume Lample:
Target Conditioning for One-to-Many Generation. CoRR abs/2009.09758 (2020) - [i38]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 abs/2010.11125 (2020)
2010 – 2019
- 2019
- [c40]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. ACL (1) 2019: 331-335 - [c39]Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin:
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) 2019: 1477-1482 - [c38]Edouard Grave, Armand Joulin, Quentin Berthet:
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS 2019: 1880-1890 - [c37]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV 2019: 2959-2968 - [c36]Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin:
Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) 2019 - [c35]Serhii Havrylov, Germán Kruszewski, Armand Joulin:
Cooperative Learning of Disjoint Syntax and Semantics. NAACL-HLT (1) 2019: 1118-1128 - [i37]Serhii Havrylov, Germán Kruszewski, Armand Joulin:
Cooperative Learning of Disjoint Syntax and Semantics. CoRR abs/1902.09393 (2019) - [i36]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR abs/1905.01278 (2019) - [i35]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. CoRR abs/1905.07799 (2019) - [i34]Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. CoRR abs/1907.01470 (2019) - [i33]Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou:
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR abs/1907.05686 (2019) - [i32]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 abs/1907.09273 (2019) - [i31]Angela Fan, Edouard Grave, Armand Joulin:
Reducing Transformer Depth on Demand with Structured Dropout. CoRR abs/1909.11556 (2019) - [i30]Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin:
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR abs/1910.06241 (2019) - [i29]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 abs/1911.00359 (2019) - [i28]Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR abs/1911.04944 (2019) - [i27]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 abs/1912.07875 (2019) - 2018
- [c34]Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. AAAI 2018: 5198-5204 - [c33]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) 2018: 139-156 - [c32]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave:
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP 2018: 2979-2984 - [c31]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. ICML 2018: 599-608 - [c30]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. LREC 2018 - [c29]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. LREC 2018 - [i26]Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov:
Efficient Large-Scale Multi-Modal Classification. CoRR abs/1802.02892 (2018) - [i25]Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov:
Learning Word Vectors for 157 Languages. CoRR abs/1802.06893 (2018) - [i24]Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave:
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR abs/1804.07745 (2018) - [i23]Edouard Grave, Armand Joulin, Quentin Berthet:
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR abs/1805.11222 (2018) - [i22]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. CoRR abs/1807.05520 (2018) - [i21]Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin:
Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR abs/1811.01124 (2018) - 2017
- [j1]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5: 135-146 (2017) - [c28]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS 2017 - [c27]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. EACL (2) 2017: 427-431 - [c26]Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten:
Learning Visual N-Grams from Web Data. ICCV 2017: 4193-4202 - [c25]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 - [c24]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. ICLR (Poster) 2017 - [c23]Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov:
Variable Computation in Recurrent Neural Networks. ICLR (Poster) 2017 - [c22]Piotr Bojanowski, Armand Joulin:
Unsupervised Learning by Predicting Noise. ICML 2017: 517-526 - [c21]Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou:
Efficient softmax approximation for GPUs. ICML 2017: 1302-1310 - [c20]Edouard Grave, Moustapha Cissé, Armand Joulin:
Unbounded cache model for online language modeling with open vocabulary. NIPS 2017: 6042-6052 - [i20]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 abs/1701.08954 (2017) - [i19]Piotr Bojanowski, Armand Joulin:
Unsupervised Learning by Predicting Noise. CoRR abs/1704.05310 (2017) - [i18]Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam:
Optimizing the Latent Space of Generative Networks. CoRR abs/1707.05776 (2017) - [i17]Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. CoRR abs/1710.10881 (2017) - [i16]Edouard Grave, Moustapha Cissé, Armand Joulin:
Unbounded cache model for online language modeling with open vocabulary. CoRR abs/1711.02604 (2017) - [i15]Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. CoRR abs/1712.09405 (2017) - 2016
- [c19]Tomás Mikolov, Armand Joulin, Marco Baroni:
A Roadmap Towards Machine Intelligence. CICLing (1) 2016: 29-61 - [c18]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. ECCV (7) 2016: 67-84 - [c17]Allan Jabri, Armand Joulin, Laurens van der Maaten:
Revisiting Visual Question Answering Baselines. ECCV (8) 2016: 727-739 - [c16]Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. ICML 2016: 421-429 - [i14]Allan Jabri, Armand Joulin, Laurens van der Maaten:
Revisiting Visual Question Answering Baselines. CoRR abs/1606.08390 (2016) - [i13]Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov:
Bag of Tricks for Efficient Text Classification. CoRR abs/1607.01759 (2016) - [i12]Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov:
Enriching Word Vectors with Subword Information. CoRR abs/1607.04606 (2016) - [i11]Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou:
Efficient softmax approximation for GPUs. CoRR abs/1609.04309 (2016) - [i10]Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov:
Variable Computation in Recurrent Neural Networks. CoRR abs/1611.06188 (2016) - [i9]Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov:
FastText.zip: Compressing text classification models. CoRR abs/1612.03651 (2016) - [i8]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. CoRR abs/1612.04426 (2016) - [i7]Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten:
Learning Visual N-Grams from Web Data. CoRR abs/1612.09161 (2016) - 2015
- [c15]Armand Joulin, Tomás Mikolov:
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. NIPS 2015: 190-198 - [c14]Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato:
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) 2015 - [i6]Armand Joulin, Tomás Mikolov:
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. CoRR abs/1503.01007 (2015) - [i5]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. CoRR abs/1511.02251 (2015) - [i4]Piotr Bojanowski, Armand Joulin, Tomás Mikolov:
Alternative structures for character-level RNNs. CoRR abs/1511.06303 (2015) - [i3]Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. CoRR abs/1511.07275 (2015) - [i2]Tomás Mikolov, Armand Joulin, Marco Baroni:
A Roadmap towards Machine Intelligence. CoRR abs/1511.08130 (2015) - 2014
- [c13]Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei:
Co-localization in Real-World Images. CVPR 2014: 1464-1471 - [c12]Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei:
Linking People in Videos with "Their" Names Using Coreference Resolution. ECCV (1) 2014: 95-110 - [c11]Armand Joulin, Kevin D. Tang, Li Fei-Fei:
Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. ECCV (6) 2014: 253-268 - [c10]Andrej Karpathy, Armand Joulin, Li Fei-Fei:
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. NIPS 2014: 1889-1897 - [i1]Andrej Karpathy, Armand Joulin, Li Fei-Fei:
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. CoRR abs/1406.5679 (2014) - 2013
- [c9]Armand Joulin, Sing Bing Kang:
Recovering Stereo Pairs from Anaglyphs. CVPR 2013: 289-296 - [c8]Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu:
Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR 2013: 1939-1946 - [c7]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, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi:
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 2013 - 2012
- [b1]Armand Joulin:
Convex optimization for cosegmentation. (Optimization convexe pour cosegmentation). École normale supérieure de Cachan, France, 2012 - [c6]Armand Joulin, Francis R. Bach, Jean Ponce:
Multi-class cosegmentation. CVPR 2012: 542-549 - [c5]Armand Joulin, Francis R. Bach:
A convex relaxation for weakly supervised classifiers. ICML 2012 - 2011
- [c4]Olivier Duchenne, Armand Joulin, Jean Ponce:
A graph-matching kernel for object categorization. ICCV 2011: 1792-1799 - [c3]Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin:
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML 2011: 745-752 - 2010
- [c2]Armand Joulin, Francis R. Bach, Jean Ponce:
Discriminative clustering for image co-segmentation. CVPR 2010: 1943-1950 - [c1]Armand Joulin, Francis R. Bach, Jean Ponce:
Efficient Optimization for Discriminative Latent Class Models. NIPS 2010: 1045-1053
Coauthor Index
[c65] [i70] [j6] [j5] [j4] [i68] [i64] [j3] [i58] [i57] [c55] [c49] [i51] [i47] [c44] [c42] [i43] [i41] [i38] [c40] [c39] [c38] [c36] [i35] [i34] [i31] [i30] [i29] [i28] [c34] [c32] [c30] [c29] [i26] [i25] [i24] [i23] [i21] [j1] [c28] [c27] [c24] [c23] [c21] [c20] [i17] [i16] [i15] [i13] [i12] [i11] [i10] [i9] [i8]
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