Alexis Conneau

Menlo Park, United States

Alexis Conneau is a research scientist at Facebook AI in Menlo Park, who completed his PhD at FAIR Paris in 2019. He previously graduated from École Polytechnique in Mathematics. His research revolves around unsupervised representation learning, transfer learning for NLU and cross-lingual understanding. His past work in these areas includes InferSent, MUSE, XNLI, XLM and XLM-R. Alexis published articles in the main NLP and machine learning conferences including ACL, EMNLP, ICLR and NeurIPS. He received an Outstanding Paper Award at EMNLP 2017, and was a co-author of the EMNLP 2018 Best Paper Award.

Alexis's Work

Alexis' Publications

October 31, 2018

RESEARCH

Phrase-Based & Neural Unsupervised Machine Translation

Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

October 31, 2018

October 29, 2018

RESEARCH

XNLI: Evaluating Cross-lingual Sentence Representations

Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Ves Stoyanov

October 29, 2018

July 18, 2018

RESEARCH

What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

Alexis Conneau, Germán Kruszewski, Guillaume Lample, LoÏc Barrault, Marco Baroni

July 18, 2018

September 07, 2017

RESEARCH

COMPUTER VISION

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Alexis Conneau, Douwe Kiela, Holger Schwenk, LoÏc Barrault, Antoine Bordes

September 07, 2017

April 30, 2018

RESEARCH

COMPUTER VISION

Word Translation Without Parallel Data

Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

April 30, 2018

April 30, 2018

RESEARCH

NLP

Unsupervised Machine Translation Using Monolingual Corpora Only

Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

April 30, 2018