Armand Joulin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
14
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Time Sensitive Knowledge Editing through Efficient Finetuning. | Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li |
| 2024 | ICML | Scalable Pre-training of Large Autoregressive Image Models. | Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel ngel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin |
| 2024 | ICML | Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. | Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodrguez |
| 2023 | CVPR | ImageBind One Embedding Space to Bind Them All. | Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra |
| 2023 | CVPR | OmniMAE: Single Model Masked Pretraining on Images and Videos. | Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra |
| 2023 | ICCV | 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 Dollr, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra |
| 2022 | CVPR | Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. | Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry |
| 2022 | CVPR | Omnivore: A Single Model for Many Visual Modalities. | Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Detecting Twenty-Thousand Classes Using Image-Level Supervision. | Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krhenbhl, Ishan Misra |
| 2021 | ACL | CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. | Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Emerging Properties in Self-Supervised Vision Transformers. | Mathilde Caron, Hugo Touvron, Ishan Misra, Herv Jgou, Julien Mairal, Piotr Bojanowski, Armand Joulin |
| 2021 | ICCV | LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. | Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Herv Jgou, Matthijs Douze |
| 2021 | ICCV | An End-to-End Transformer Model for 3D Object Detection. | Ishan Misra, Rohit Girdhar, Armand Joulin |
| 2021 | ICCV | Self-Supervised Pretraining of 3D Features on any Point-Cloud. | Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra |
| 2021 | ICLR | Training with Quantization Noise for Extreme Model Compression. | Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rmi Gribonval, Herv Jgou, Armand Joulin |
| 2020 | EMNLP | Target Conditioning for One-to-Many Generation. | Marie-Anne Lachaux, Armand Joulin, Guillaume Lample |
| 2020 | ICASSP | Libri-Light: A Benchmark for ASR with Limited or No Supervision. | Jacob Kahn, Morgane Rivire, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazar, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux |
| 2020 | ICASSP | Unsupervised Pretraining Transfers Well Across Languages. | Morgane Rivire, Armand Joulin, Pierre-Emmanuel Mazar, Emmanuel Dupoux |
| 2020 | ICLR | Reducing Transformer Depth on Demand with Structured Dropout. | Angela Fan, Edouard Grave, Armand Joulin |
| 2020 | ICLR | And the Bit Goes Down: Revisiting the Quantization of Neural Networks. | Pierre Stock, Armand Joulin, Rmi Gribonval, Benjamin Graham, Herv Jgou |
| 2020 | LREC | CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. | Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmn, Armand Joulin, Edouard Grave |
| 2019 | ACL | Training Hybrid Language Models by Marginalizing over Segmentations. | Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin |
| 2019 | ACL | Adaptive Attention Span in Transformers. | Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin |
| 2019 | AISTATS | Unsupervised Alignment of Embeddings with Wasserstein Procrustes. | Edouard Grave, Armand Joulin, Quentin Berthet |
| 2019 | ICCV | Unsupervised Pre-Training of Image Features on Non-Curated Data. | Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin |
| 2019 | ICLR | Unsupervised Hyper-alignment for Multilingual Word Embeddings. | Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin |
| 2019 | NAACL | Cooperative Learning of Disjoint Syntax and Semantics. | Serhii Havrylov, Germn Kruszewski, Armand Joulin |
| 2018 | AAAI | Efficient Large-Scale Multi-Modal Classification. | Douwe Kiela, Edouard Grave, Armand Joulin, Toms Mikolov |
| 2018 | ECCV | Deep Clustering for Unsupervised Learning of Visual Features. | Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze |
| 2018 | EMNLP | Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. | Armand Joulin, Piotr Bojanowski, Toms Mikolov, Herv Jgou, Edouard Grave |
| 2018 | ICML | Optimizing the Latent Space of Generative Networks. | Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam |
| 2018 | LREC | Learning Word Vectors for 157 Languages. | Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Toms Mikolov |
| 2018 | LREC | Advances in Pre-Training Distributed Word Representations. | Toms Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin |
| 2017 | EACL | Bag of Tricks for Efficient Text Classification. | Armand Joulin, Edouard Grave, Piotr Bojanowski, Toms Mikolov |
| 2017 | ICCV | Learning Visual N-Grams from Web Data. | Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten |
| 2017 | ICLR | CommAI: Evaluating the first steps towards a useful general AI. | Marco Baroni, Armand Joulin, Allan Jabri, Germn Kruszewski, Angeliki Lazaridou, Klemen Simonic, Toms Mikolov |
| 2017 | ICLR | Improving Neural Language Models with a Continuous Cache. | Edouard Grave, Armand Joulin, Nicolas Usunier |
| 2017 | ICLR | Variable Computation in Recurrent Neural Networks. | Yacine Jernite, Edouard Grave, Armand Joulin, Toms Mikolov |
| 2017 | ICML | Unsupervised Learning by Predicting Noise. | Piotr Bojanowski, Armand Joulin |
| 2017 | ICML | Efficient softmax approximation for GPUs. | Edouard Grave, Armand Joulin, Moustapha Ciss, David Grangier, Herv Jgou |
| 2016 | CICLING | A Roadmap Towards Machine Intelligence. | Toms Mikolov, Armand Joulin, Marco Baroni |
| 2016 | ECCV | Revisiting Visual Question Answering Baselines. | Allan Jabri, Armand Joulin, Laurens van der Maaten |
| 2016 | ECCV | Learning Visual Features from Large Weakly Supervised Data. | Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache |
| 2016 | ICML | Learning Simple Algorithms from Examples. | Wojciech Zaremba, Toms Mikolov, Armand Joulin, Rob Fergus |
| 2014 | CVPR | Co-localization in Real-World Images. | Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei |
| 2014 | ECCV | Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. | Armand Joulin, Kevin D. Tang, Li Fei-Fei |
| 2014 | ECCV | Linking People in Videos with "Their" Names Using Coreference Resolution. | Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei |
| 2013 | CVPR | Recovering Stereo Pairs from Anaglyphs. | Armand Joulin, Sing Bing Kang |
| 2013 | CVPR | Unsupervised Joint Object Discovery and Segmentation in Internet Images. | Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu |
| 2012 | CVPR | Multi-class cosegmentation. | Armand Joulin, Francis R. Bach, Jean Ponce |
| 2012 | ICML | A convex relaxation for weakly supervised classifiers. | Armand Joulin, Francis R. Bach |
| 2011 | ICCV | A graph-matching kernel for object categorization. | Olivier Duchenne, Armand Joulin, Jean Ponce |
| 2011 | ICML | Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. | Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin |
| 2010 | CVPR | Discriminative clustering for image co-segmentation. | Armand Joulin, Francis R. Bach, Jean Ponce |