I am a research scientist at Facebook Artificial Intelligence Research. I obtained my PhD in 2012 from the INRIA and the Ecole Normale Superieure. My advisors were Francis Bach and Jean Ponce. Before joining Facebook, I was a postdoctoral fellow at Stanford University, working with Daphne Koller and Fei-Fei Li.
Interests
Machine learning, computer vision, and natural language processing
Related Links
Latest Publications
ICCV - October 10, 2021
LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference
Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
ICCV - October 10, 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
arXiv - June 16, 2021
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
NeurIPS - December 2, 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
ICASSP - May 4, 2020
Libri-light: A benchmark for ASR with limited or no supervision
Jacob Kahn, Morgan 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
ICLR - April 26, 2020
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
ICLR - April 25, 2020
And the bit goes down: Revisiting the quantization of neural networks
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
ICCV - October 28, 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
ACL - July 28, 2019
Training Hybrid Language Models by Marginalizing over Segmentations
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin
ACL - July 27, 2019
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
arXiv - July 18, 2019
Why Build an Assistant in Minecraft?
Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, Larry Zitnick, Jason Weston
NAACL - June 2, 2019
Cooperative Learning of Disjoint Syntax and Semantics
Serhii Havrylov, Germán Kruszewski, Armand Joulin
ICLR - May 17, 2019
Unsupervised Hyper-alignment for Multilingual Word Embeddings
Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
LREC - April 30, 2019
Learning Word Vectors for 157 Languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov
EMNLP 2018 - October 30, 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave
ECCV 2018 - September 9, 2018
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
ICML 2018 - July 10, 2018
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
LREC 2018 - May 7, 2018
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
AAAI 2018 - February 2, 2018
Efficient Large-Scale Multi-Modal Classification
Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov
NIPS 2017 - December 4, 2017
Unbounded Cache Model for Online Language Modeling with Open Vocabulary
Edouard Grave, Moustapha Cisse, Armand Joulin
ICCV 2017 - October 22, 2017
Learning Visual N-Grams from Web Data
Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
ICML 2017 - August 6, 2017
Efficient Softmax Approximation for GPUs
Edouard Grave, Armand Joulin, Moustapha Cisse, David Grangier, Hervé Jégou
ICML 2017 - August 6, 2017
Unsupervised Learning by Predicting Noise
Piotr Bojanowski, Armand Joulin
TACL - July 31, 2017
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov
ICLR - April 24, 2017
CommAI: Evaluating the First Steps Towards a Useful General AI
Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov
ICLR 2017 - April 24, 2017
Improving Neural Language Models with a Continuous Cache
Edouard Grave, Armand Joulin, Nicolas Usunier
ICLR 2017 - April 24, 2017
Variable Computation in Recurrent Neural Networks
Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov
EACL 2017 - April 3, 2017
Bag of Tricks for Efficient Text Classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov
ECCV - October 10, 2016
Revisiting Visual Question Answering Baselines
Allan Jabri, Armand Joulin, Laurens van der Maaten
ECCV - October 8, 2016
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache
ArXiv - November 25, 2015
A Roadmap Towards Machine Intelligence
Tomas Mikolov, Armand Joulin, Marco Baroni
ArXiv - November 23, 2015
Learning Simple Algorithms from Examples
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus
ArXiv - November 19, 2015
Alternative Structures for Character-Level RNNs
Piotr Bojanowski, Armand Joulin, Tomas Mikolov
ICLR - June 22, 2015
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato
ArXiv - June 22, 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
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