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Alexis Conneau
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2020 – today
- 2024
- [j1]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. J. Mach. Learn. Res. 25: 97:1-97:52 (2024) - [i31]Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, Aleksander Madry, Alex Baker-Whitcomb, Alex Beutel, Alex Borzunov, Alex Carney, Alex Chow, Alex Kirillov, Alex Nichol, Alex Paino, Alex Renzin, Alex Tachard Passos, Alexander Kirillov, Alexi Christakis, Alexis Conneau, Ali Kamali, Allan Jabri, Allison Moyer, Allison Tam, Amadou Crookes, Amin Tootoonchian, Ananya Kumar, Andrea Vallone, Andrej Karpathy, Andrew Braunstein, Andrew Cann, Andrew Codispoti, Andrew Galu, Andrew Kondrich, Andrew Tulloch, Andrey Mishchenko, Angela Baek, Angela Jiang, Antoine Pelisse, Antonia Woodford, Anuj Gosalia, Arka Dhar, Ashley Pantuliano, Avi Nayak, Avital Oliver, Barret Zoph, Behrooz Ghorbani, Ben Leimberger, Ben Rossen, Ben Sokolowsky, Ben Wang, Benjamin Zweig, Beth Hoover, Blake Samic, Bob McGrew, Bobby Spero, Bogo Giertler, Bowen Cheng, Brad Lightcap, Brandon Walkin, Brendan Quinn, Brian Guarraci, Brian Hsu, Bright Kellogg, Brydon Eastman, Camillo Lugaresi, Carroll L. Wainwright, Cary Bassin, Cary Hudson, Casey Chu, Chad Nelson, Chak Li, Chan Jun Shern, Channing Conger, Charlotte Barette, Chelsea Voss, Chen Ding, Cheng Lu, Chong Zhang, Chris Beaumont, Chris Hallacy, Chris Koch, Christian Gibson, Christina Kim, Christine Choi, Christine McLeavey, Christopher Hesse, Claudia Fischer, Clemens Winter, Coley Czarnecki, Colin Jarvis, Colin Wei, Constantin Koumouzelis, Dane Sherburn:
GPT-4o System Card. CoRR abs/2410.21276 (2024) - 2023
- [c30]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. EMNLP (Findings) 2023: 6582-6593 - [c29]Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer:
Scaling Laws for Generative Mixed-Modal Language Models. ICML 2023: 265-279 - [c28]Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi:
Textually Pretrained Speech Language Models. NeurIPS 2023 - [i30]Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer:
Scaling Laws for Generative Mixed-Modal Language Models. CoRR abs/2301.03728 (2023) - [i29]Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi:
Textually Pretrained Speech Language Models. CoRR abs/2305.13009 (2023) - [i28]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. CoRR abs/2305.13516 (2023) - [i27]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. CoRR abs/2310.08715 (2023) - 2022
- [c27]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. ICASSP 2022: 6877-6881 - [c26]Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobu Morioka:
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. INTERSPEECH 2022: 1721-1725 - [c25]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. INTERSPEECH 2022: 2278-2282 - [c24]Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson:
XTREME-S: Evaluating Cross-lingual Speech Representations. INTERSPEECH 2022: 3248-3252 - [c23]Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna:
FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. SLT 2022: 798-805 - [i26]Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau:
mSLAM: Massively multilingual joint pre-training for speech and text. CoRR abs/2202.01374 (2022) - [i25]Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson:
XTREME-S: Evaluating Cross-lingual Speech Representations. CoRR abs/2203.10752 (2022) - [i24]Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobuyuki Morioka:
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. CoRR abs/2203.13339 (2022) - [i23]Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna:
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech. CoRR abs/2205.12446 (2022) - 2021
- [c22]Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Miguel Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. ACL/IJCNLP (1) 2021: 827-838 - [c21]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP 2021: 3030-3034 - [c20]Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. ICLR 2021 - [c19]Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. Interspeech 2021: 2242-2246 - [c18]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-Lingual Representation Learning for Speech Recognition. Interspeech 2021: 2426-2430 - [c17]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT 2021: 5408-5418 - [c16]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. NeurIPS 2021: 27826-27839 - [c15]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. RepL4NLP@ACL-IJCNLP 2021: 29-33 - [i22]Changhan Wang, Anne Wu, Juan Miguel Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. CoRR abs/2104.06678 (2021) - [i21]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. CoRR abs/2105.00572 (2021) - [i20]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. CoRR abs/2105.11084 (2021) - [i19]Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang:
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training. CoRR abs/2110.10329 (2021) - [i18]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. CoRR abs/2111.09296 (2021) - 2020
- [c14]Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. ACL 2020: 6022-6034 - [c13]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c12]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC 2020: 4003-4012 - [i17]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-lingual Representation Learning for Speech Recognition. CoRR abs/2006.13979 (2020) - [i16]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. CoRR abs/2010.02194 (2020) - [i15]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-training and Pre-training are Complementary for Speech Recognition. CoRR abs/2010.11430 (2020) - [i14]Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. CoRR abs/2011.01403 (2020)
2010 – 2019
- 2019
- [b1]Alexis Conneau:
Learning distributed representations of sentences using neural networks. (Apprentissage et applications de représentations multilingues distribuées). Le Mans University, France, 2019 - [c11]Alexis Conneau, Guillaume Lample:
Cross-lingual Language Model Pretraining. NeurIPS 2019: 7057-7067 - [e1]Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 [contents] - [i13]Guillaume Lample, Alexis Conneau:
Cross-lingual Language Model Pretraining. CoRR abs/1901.07291 (2019) - [i12]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR abs/1911.00359 (2019) - [i11]Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. CoRR abs/1911.01464 (2019) - [i10]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - 2018
- [c10]Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni:
What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties. ACL (1) 2018: 2126-2136 - [c9]Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. EMNLP 2018: 2475-2485 - [c8]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. EMNLP 2018: 5039-5049 - [c7]Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. ICLR (Poster) 2018 - [c6]Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word translation without parallel data. ICLR (Poster) 2018 - [c5]Alexis Conneau, Douwe Kiela:
SentEval: An Evaluation Toolkit for Universal Sentence Representations. LREC 2018 - [c4]Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel:
Learning Visually Grounded Sentence Representations. NAACL-HLT 2018: 408-418 - [i9]Alexis Conneau, Douwe Kiela:
SentEval: An Evaluation Toolkit for Universal Sentence Representations. CoRR abs/1803.05449 (2018) - [i8]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. CoRR abs/1804.07755 (2018) - [i7]Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni:
What you can cram into a single vector: Probing sentence embeddings for linguistic properties. CoRR abs/1805.01070 (2018) - [i6]Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. CoRR abs/1809.05053 (2018) - 2017
- [c3]Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann LeCun:
Very Deep Convolutional Networks for Text Classification. EACL (1) 2017: 1107-1116 - [c2]Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes:
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. EMNLP 2017: 670-680 - [i5]Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes:
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. CoRR abs/1705.02364 (2017) - [i4]Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel:
Learning Visually Grounded Sentence Representations. CoRR abs/1707.06320 (2017) - [i3]Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word Translation Without Parallel Data. CoRR abs/1710.04087 (2017) - 2016
- [c1]Flavian Vasile, Elena Smirnova, Alexis Conneau:
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. RecSys 2016: 225-232 - [i2]Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann LeCun:
Very Deep Convolutional Networks for Natural Language Processing. CoRR abs/1606.01781 (2016) - [i1]Flavian Vasile, Elena Smirnova, Alexis Conneau:
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. CoRR abs/1607.07326 (2016)
Coauthor Index
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last updated on 2024-12-03 20:30 CET by the dblp team
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