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Alexis Conneau
Alexis Conneau
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Unsupervised Cross-lingual Representation Learning at Scale
A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ...
ACL 2020, 2019
65812019
Cross-lingual Language Model Pretraining
A Conneau, G Lample
NeurIPS 2019 (Spotlight), 2019
3320*2019
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes
EMNLP 2017 (Outstanding Paper Award), 2017
26992017
Word Translation Without Parallel Data
A Conneau, G Lample, MA Ranzato, L Denoyer, H Jégou
ICLR 2018, 2017
1943*2017
Very Deep Convolutional Networks for Natural Language Processing
A Conneau, H Schwenk, L Barrault, Y Lecun
EACL 2017, 2016
1742*2016
XNLI: Evaluating Cross-lingual Sentence Representations
A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ...
EMNLP 2018, 2018
14222018
Unsupervised Machine Translation Using Monolingual Corpora Only
G Lample, A Conneau, L Denoyer, MA Ranzato
ICLR 2018, 2017
13432017
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
A Conneau, G Kruszewski, G Lample, L Barrault, M Baroni
ACL 2018, 2018
10262018
Unsupervised cross-lingual representation learning for speech recognition
A Conneau, A Baevski, R Collobert, A Mohamed, M Auli
Interspeech 2021, 2020
8482020
Phrase-Based & Neural Unsupervised Machine Translation
G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato
EMNLP 2018 (Best Paper Award), 2018
7992018
SentEval: An Evaluation Toolkit for Universal Sentence Representations
A Conneau, D Kiela
LREC 2018, 2018
7792018
XLS-R: Self-supervised cross-lingual speech representation learning at scale
A Babu, C Wang, A Tjandra, K Lakhotia, Q Xu, N Goyal, K Singh, ...
Interspeech 2022, 2021
6632021
Ccnet: Extracting high quality monolingual datasets from web crawl data
G Wenzek, MA Lachaux, A Conneau, V Chaudhary, F Guzman, A Joulin, ...
LREC 2020, 2019
6262019
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
B Gunel, J Du, A Conneau, V Stoyanov
ICLR 2021, 2020
5152020
Product embeddings using side-information for recommendation
F Vasile, E Smirnova, A Conneau
WWW 2016, 2016
324*2016
Unsupervised Speech Recognition
A Baevski, WN Hsu, A Conneau, M Auli
NeurIPS 2021 (Oral), 2021
3132021
Emerging Cross-lingual Structure in Pretrained Language Models
A Conneau, S Wu, H Li, L Zettlemoyer, V Stoyanov
ACL 2020, 2019
265*2019
Scaling speech technology to 1,000+ languages
V Pratap, A Tjandra, B Shi, P Tomasello, A Babu, S Kundu, A Elkahky, ...
JMLR 2024, 2023
2532023
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
A Conneau, M Ma, S Khanuja, Y Zhang, V Axelrod, S Dalmia, J Riesa, ...
SLT 2022 (Best Paper Award), 2022
2402022
Self-training and pre-training are complementary for speech recognition
Q Xu, A Baevski, T Likhomanenko, P Tomasello, A Conneau, R Collobert, ...
ICASSP 2021, 2020
1902020
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