| Libri-light: A benchmark for asr with limited or no supervision J Kahn, M Riviere, W Zheng, E Kharitonov, Q Xu, PE Mazaré, J Karadayi, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 289 | 2020 |
| On generative spoken language modeling from raw audio K Lakhotia, E Kharitonov, WN Hsu, Y Adi, A Polyak, B Bolte, TA Nguyen, ... Transactions of the Association for Computational Linguistics 9, 1336-1354, 2021 | 100 | 2021 |
| Speech resynthesis from discrete disentangled self-supervised representations A Polyak, Y Adi, J Copet, E Kharitonov, K Lakhotia, WN Hsu, A Mohamed, ... arXiv preprint arXiv:2104.00355, 2021 | 98 | 2021 |
| Data augmenting contrastive learning of speech representations in the time domain E Kharitonov, M Rivière, G Synnaeve, L Wolf, PE Mazaré, M Douze, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 215-222, 2021 | 80 | 2021 |
| Compositionality and generalization in emergent languages R Chaabouni, E Kharitonov, D Bouchacourt, E Dupoux, M Baroni arXiv preprint arXiv:2004.09124, 2020 | 74 | 2020 |
| Anti-efficient encoding in emergent communication R Chaabouni, E Kharitonov, E Dupoux, M Baroni Advances in Neural Information Processing Systems 32, 2019 | 69 | 2019 |
| The zero resource speech benchmark 2021: Metrics and baselines for unsupervised spoken language modeling TA Nguyen, M de Seyssel, P Rozé, M Rivière, E Kharitonov, A Baevski, ... arXiv preprint arXiv:2011.11588, 2020 | 53 | 2020 |
| EGG: a toolkit for research on Emergence of lanGuage in Games E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni arXiv preprint arXiv:1907.00852, 2019 | 50 | 2019 |
| Text-free prosody-aware generative spoken language modeling E Kharitonov, A Lee, A Polyak, Y Adi, J Copet, K Lakhotia, TA Nguyen, ... arXiv preprint arXiv:2109.03264, 2021 | 42 | 2021 |
| Communicating artificial neural networks develop efficient color-naming systems R Chaabouni, E Kharitonov, E Dupoux, M Baroni Proceedings of the National Academy of Sciences 118 (12), e2016569118, 2021 | 35 | 2021 |
| User model-based metrics for offline query suggestion evaluation E Kharitonov, C Macdonald, P Serdyukov, I Ounis Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 31 | 2013 |
| Audiolm: a language modeling approach to audio generation Z Borsos, R Marinier, D Vincent, E Kharitonov, O Pietquin, M Sharifi, ... arXiv preprint arXiv:2209.03143, 2022 | 29 | 2022 |
| Federated online learning to rank with evolution strategies E Kharitonov Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 28 | 2019 |
| Intent models for contextualising and diversifying query suggestions E Kharitonov, C Macdonald, P Serdyukov, I Ounis Proceedings of the 22nd ACM international conference on Information …, 2013 | 28 | 2013 |
| Textless speech emotion conversion using decomposed and discrete representations F Kreuk, A Polyak, J Copet, E Kharitonov, TA Nguyen, M Rivière, WN Hsu, ... arXiv preprint arXiv:2111.07402, 2021 | 26 | 2021 |
| Sequential testing for early stopping of online experiments E Kharitonov, A Vorobev, C Macdonald, P Serdyukov, I Ounis Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 26 | 2015 |
| Entropy minimization in emergent languages E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni arXiv preprint arXiv:1905.13687, 2019 | 24* | 2019 |
| Word-order biases in deep-agent emergent communication R Chaabouni, E Kharitonov, A Lazaric, E Dupoux, M Baroni arXiv preprint arXiv:1905.12330, 2019 | 21 | 2019 |
| Learning sensitive combinations of A/B test metrics E Kharitonov, A Drutsa, P Serdyukov Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 21 | 2017 |
| Generalized team draft interleaving E Kharitonov, C Macdonald, P Serdyukov, I Ounis Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 18 | 2015 |
Emmanuel DupouxProfessor of Cognitive Psychology, Ecole des Hautes Etudes en Sciences Sociales, ParisΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ehess.fr
