Armand Joulin - RankMe

153 papers A* 32A 1B 3Misc 2Journal 87Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy. PLoS Comput. Biol. Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo
2025	J	`jnl`	EmbeddingGemma: Powerful and Lightweight Text Representations. CoRR Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini
2025	J	`jnl`	Encoder-Decoder Gemma: Improving the Quality-Efficiency Trade-Off via Adaptation. CoRR Biao Zhang, Fedor Moiseev, Joshua Ainslie, Paul Suganthan, Min Ma, Surya Bhupatiraju, Federico Lebrón, Orhan Firat, Armand Joulin, Zhe Dong
2025	J	`jnl`	T5Gemma 2: Seeing, Reading, and Understanding Longer. CoRR Biao Zhang, Paul Suganthan, Gaël Liu, Ilya Philippov, Sahil Dua, Ben Hora, Kat Black, Gus Martins, Omar Sanseviero, Shreya Pathak, Cassidy Hardin, Francesco Visin, Jiageng Zhang, Kathleen Kenealy, Qin Yin, Xiaodan Song, Olivier Lacombe, Armand Joulin, Tris Warkentin, Adam Roberts
2025	J	`jnl`	VaultGemma: A Differentially Private Gemma Model. CoRR Amer Sinha, Thomas Mesnard, Ryan McKenna, Daogao Liu, Christopher A. Choquette-Choo, Yangsibo Huang, Da Yu, Georgios Kaissis, Zachary Charles, Ruibo Liu, Lynn Chua, Pritish Kamath, Pasin Manurangsi, Steve He, Chiyuan Zhang, Badih Ghazi, Borja de Balle Pigem, Prem Eruvbetine, Tris Warkentin, Armand Joulin, Ravi Kumar
2024	J	`jnl`	Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR 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
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR 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
2024	A*	`conf`	Scalable Pre-training of Large Autoregressive Image Models. ICML Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin
2024	J	`jnl`	Scalable Pre-training of Large Autoregressive Image Models. CoRR Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
2024	—	`conf`	Time Sensitive Knowledge Editing through Efficient Finetuning. ACL (Short Papers) Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
2024	J	`jnl`	Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
2024	A*	`conf`	Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. ICML Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
2024	J	`jnl`	Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
2023	J	`jnl`	Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR 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
2023	A*	`conf`	ImageBind One Embedding Space to Bind Them All. CVPR Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
2023	J	`jnl`	ImageBind: One Embedding Space To Bind Them All. CoRR Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
2023	J	`jnl`	Improving Wikipedia verifiability with AI. Nat. Mac. Intell. Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
2023	J	`jnl`	LLaMA: Open and Efficient Foundation Language Models. CoRR 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
2023	A*	`conf`	OmniMAE: Single Model Masked Pretraining on Images and Videos. CVPR Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
2023	J	`jnl`	PaSS: Parallel Speculative Sampling. CoRR Giovanni Monea, Armand Joulin, Edouard Grave
2023	J	`jnl`	ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2023	A*	`conf`	The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV 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
2023	J	`jnl`	The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR 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
2022	—	`conf`	Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
2022	J	`jnl`	Detecting Twenty-thousand Classes using Image-level Supervision. CoRR Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
2022	J	`jnl`	Few-shot Learning with Retrieval Augmented Language Models. CoRR Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2022	J	`jnl`	Improving Wikipedia Verifiability with AI. CoRR 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
2022	—	`conf`	Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
2022	—	`conf`	Masked Siamese Networks for Label-Efficient Learning. ECCV (31) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	OmniMAE: Single Model Masked Pretraining on Images and Videos. CoRR Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra
2022	A*	`conf`	Omnivore: A Single Model for Many Visual Modalities. CVPR Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra
2022	J	`jnl`	Omnivore: A Single Model for Many Visual Modalities. CoRR Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra
2022	J	`jnl`	Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2022	J	`jnl`	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
2021	A*	`conf`	An End-to-End Transformer Model for 3D Object Detection. ICCV Ishan Misra, Rohit Girdhar, Armand Joulin
2021	J	`jnl`	An End-to-End Transformer Model for 3D Object Detection. CoRR Ishan Misra, Rohit Girdhar, Armand Joulin
2021	J	`jnl`	Augmenting Convolutional networks with attention-based aggregation. CoRR Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou
2021	J	`jnl`	Beyond English-Centric Multilingual Machine Translation. J. Mach. Learn. Res. 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
2021	—	`conf`	CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. ACL/IJCNLP (1) Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan
2021	A*	`conf`	Emerging Properties in Self-Supervised Vision Transformers. ICCV Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Emerging Properties in Self-Supervised Vision Transformers. CoRR Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	A*	`conf`	LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. ICCV Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
2021	J	`jnl`	LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. CoRR Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
2021	J	`jnl`	Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry
2021	J	`jnl`	ResMLP: Feedforward networks for image classification with data-efficient training. CoRR Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	A*	`conf`	Self-Supervised Pretraining of 3D Features on any Point-Cloud. ICCV Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
2021	J	`jnl`	Self-Supervised Pretraining of 3D Features on any Point-Cloud. CoRR Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
2021	J	`jnl`	Self-supervised Pretraining of Visual Features in the Wild. CoRR Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2021	A*	`conf`	Training with Quantization Noise for Extreme Model Compression. ICLR Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
2021	A*	`conf`	XCiT: Cross-Covariance Image Transformers. NeurIPS Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	XCiT: Cross-Covariance Image Transformers. CoRR Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2020	J	`jnl`	Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar
2020	A*	`conf`	And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
2020	J	`jnl`	Beyond English-Centric Multilingual Machine Translation. CoRR 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
2020	B	`conf`	CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
2020	J	`jnl`	Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski
2020	Misc	`conf`	Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP 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
2020	J	`jnl`	Pruning Convolutional Neural Networks with Self-Supervision. CoRR Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
2020	A*	`conf`	Reducing Transformer Depth on Demand with Structured Dropout. ICLR Angela Fan, Edouard Grave, Armand Joulin
2020	—	`conf`	Target Conditioning for One-to-Many Generation. EMNLP (Findings) Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
2020	J	`jnl`	Target Conditioning for One-to-Many Generation. CoRR Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
2020	J	`jnl`	Training with Quantization Noise for Extreme Model Compression. CoRR Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
2020	A*	`conf`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2020	J	`jnl`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2020	Misc	`conf`	Unsupervised Pretraining Transfers Well Across Languages. ICASSP Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux
2020	J	`jnl`	Unsupervised pretraining transfers well across languages. CoRR Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux
2019	—	`conf`	Adaptive Attention Span in Transformers. ACL (1) Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
2019	J	`jnl`	Adaptive Attention Span in Transformers. CoRR Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
2019	J	`jnl`	And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
2019	J	`jnl`	Augmenting Self-attention with Persistent Memory. CoRR Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin
2019	J	`jnl`	CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin
2019	J	`jnl`	CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
2019	—	`conf`	Cooperative Learning of Disjoint Syntax and Semantics. NAACL-HLT (1) Serhii Havrylov, Germán Kruszewski, Armand Joulin
2019	J	`jnl`	Cooperative Learning of Disjoint Syntax and Semantics. CoRR Serhii Havrylov, Germán Kruszewski, Armand Joulin
2019	J	`jnl`	Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	J	`jnl`	Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR 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
2019	J	`jnl`	Reducing Transformer Depth on Demand with Structured Dropout. CoRR Angela Fan, Edouard Grave, Armand Joulin
2019	—	`conf`	Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin
2019	A	`conf`	Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS Edouard Grave, Armand Joulin, Quentin Berthet
2019	—	`conf`	Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
2019	A*	`conf`	Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	J	`jnl`	Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
2019	J	`jnl`	Why Build an Assistant in Minecraft? CoRR 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
2018	B	`conf`	Advances in Pre-Training Distributed Word Representations. LREC Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
2018	—	`conf`	Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
2018	J	`jnl`	Deep Clustering for Unsupervised Learning of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
2018	A*	`conf`	Efficient Large-Scale Multi-Modal Classification. AAAI Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
2018	J	`jnl`	Efficient Large-Scale Multi-Modal Classification. CoRR Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
2018	J	`jnl`	Improving Supervised Bilingual Mapping of Word Embeddings. CoRR Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
2018	B	`conf`	Learning Word Vectors for 157 Languages. LREC Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
2018	J	`jnl`	Learning Word Vectors for 157 Languages. CoRR Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
2018	A*	`conf`	Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
2018	A*	`conf`	Optimizing the Latent Space of Generative Networks. ICML Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
2018	J	`jnl`	Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR Edouard Grave, Armand Joulin, Quentin Berthet
2018	J	`jnl`	Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
2017	J	`jnl`	Advances in Pre-Training Distributed Word Representations. CoRR Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
2017	—	`conf`	Bag of Tricks for Efficient Text Classification. EACL (2) Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
2017	—	`conf`	CommAI: Evaluating the first steps towards a useful general AI. ICLR (Workshop) Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
2017	J	`jnl`	CommAI: Evaluating the first steps towards a useful general AI. CoRR Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
2017	A*	`conf`	Efficient softmax approximation for GPUs. ICML Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
2017	J	`jnl`	Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
2017	—	`conf`	Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
2017	J	`jnl`	Fast Linear Model for Knowledge Graph Embeddings. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
2017	—	`conf`	Improving Neural Language Models with a Continuous Cache. ICLR (Poster) Edouard Grave, Armand Joulin, Nicolas Usunier
2017	A*	`conf`	Learning Visual N-Grams from Web Data. ICCV Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
2017	J	`jnl`	Optimizing the Latent Space of Generative Networks. CoRR Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
2017	—	`conf`	Unbounded cache model for online language modeling with open vocabulary. NIPS Edouard Grave, Moustapha Cissé, Armand Joulin
2017	J	`jnl`	Unbounded cache model for online language modeling with open vocabulary. CoRR Edouard Grave, Moustapha Cissé, Armand Joulin
2017	A*	`conf`	Unsupervised Learning by Predicting Noise. ICML Piotr Bojanowski, Armand Joulin
2017	J	`jnl`	Unsupervised Learning by Predicting Noise. CoRR Piotr Bojanowski, Armand Joulin
2017	—	`conf`	Variable Computation in Recurrent Neural Networks. ICLR (Poster) Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
2016	—	`conf`	A Roadmap Towards Machine Intelligence. CICLing (1) Tomás Mikolov, Armand Joulin, Marco Baroni
2016	J	`jnl`	Bag of Tricks for Efficient Text Classification. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
2016	J	`jnl`	Efficient softmax approximation for GPUs. CoRR Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
2016	J	`jnl`	Enriching Word Vectors with Subword Information. CoRR Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
2016	J	`jnl`	FastText.zip: Compressing text classification models. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov
2016	J	`jnl`	Improving Neural Language Models with a Continuous Cache. CoRR Edouard Grave, Armand Joulin, Nicolas Usunier
2016	A*	`conf`	Learning Simple Algorithms from Examples. ICML Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
2016	—	`conf`	Learning Visual Features from Large Weakly Supervised Data. ECCV (7) Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache
2016	J	`jnl`	Learning Visual N-Grams from Web Data. CoRR Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
2016	—	`conf`	Revisiting Visual Question Answering Baselines. ECCV (8) Allan Jabri, Armand Joulin, Laurens van der Maaten
2016	J	`jnl`	Revisiting Visual Question Answering Baselines. CoRR Allan Jabri, Armand Joulin, Laurens van der Maaten
2016	J	`jnl`	Variable Computation in Recurrent Neural Networks. CoRR Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
2015	J	`jnl`	A Roadmap towards Machine Intelligence. CoRR Tomás Mikolov, Armand Joulin, Marco Baroni
2015	J	`jnl`	Alternative structures for character-level RNNs. CoRR Piotr Bojanowski, Armand Joulin, Tomás Mikolov
2015	—	`conf`	Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. NIPS Armand Joulin, Tomás Mikolov
2015	J	`jnl`	Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. CoRR Armand Joulin, Tomás Mikolov
2015	—	`conf`	Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
2015	J	`jnl`	Learning Simple Algorithms from Examples. CoRR Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
2015	J	`jnl`	Learning Visual Features from Large Weakly Supervised Data. CoRR Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache
2014	A*	`conf`	Co-localization in Real-World Images. CVPR Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei
2014	—	`conf`	Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. NIPS Andrej Karpathy, Armand Joulin, Li Fei-Fei
2014	J	`jnl`	Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. CoRR Andrej Karpathy, Armand Joulin, Li Fei-Fei
2014	—	`conf`	Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. ECCV (6) Armand Joulin, Kevin D. Tang, Li Fei-Fei
2014	—	`conf`	Linking People in Videos with "Their" Names Using Coreference Resolution. ECCV (1) Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei
2013	A*	`conf`	Recovering Stereo Pairs from Anaglyphs. CVPR Armand Joulin, Sing Bing Kang
2013	—	`conf`	TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 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
2013	A*	`conf`	Unsupervised Joint Object Discovery and Segmentation in Internet Images. CVPR Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu
2012	A*	`conf`	A convex relaxation for weakly supervised classifiers. ICML Armand Joulin, Francis R. Bach
2012	—	`—`	Convex optimization for cosegmentation. (Optimization convexe pour cosegmentation). Armand Joulin
2012	A*	`conf`	Multi-class cosegmentation. CVPR Armand Joulin, Francis R. Bach, Jean Ponce
2011	A*	`conf`	A graph-matching kernel for object categorization. ICCV Olivier Duchenne, Armand Joulin, Jean Ponce
2011	A*	`conf`	Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin
2010	A*	`conf`	Discriminative clustering for image co-segmentation. CVPR Armand Joulin, Francis R. Bach, Jean Ponce
2010	—	`conf`	Efficient Optimization for Discriminative Latent Class Models. NIPS Armand Joulin, Francis R. Bach, Jean Ponce