| SPLADE v2: Sparse lexical and expansion model for information retrieval T Formal, C Lassance, B Piwowarski, S Clinchant arXiv preprint arXiv:2109.10086, 2021 | 164 | 2021 |
| From distillation to hard negative sampling: Making sparse neural ir models more effective T Formal, C Lassance, B Piwowarski, S Clinchant Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 125 | 2022 |
| An efficiency study for SPLADE models C Lassance, S Clinchant Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 51 | 2022 |
| Deep geometric knowledge distillation with graphs C Lassance, M Bontonou, GB Hacene, V Gripon, J Tang, A Ortega ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
| Attention based pruning for shift networks GB Hacene, C Lassance, V Gripon, M Courbariaux, Y Bengio 2020 25th International Conference on Pattern Recognition (ICPR), 4054-4061, 2021 | 35 | 2021 |
| Laplacian networks: Bounding indicator function smoothness for neural networks robustness C Lassance, V Gripon, A Ortega APSIPA Transactions on Signal and Information Processing 10, e2, 2021 | 27* | 2021 |
| Methods and analysis of the first competition in predicting generalization of deep learning Y Jiang, P Natekar, M Sharma, SK Aithal, D Kashyap, N Subramanyam, ... NeurIPS 2020 Competition and Demonstration Track, 170-190, 2021 | 25 | 2021 |
| Learned token pruning in contextualized late interaction over BERT (colbert) C Lassance, M Maachou, J Park, S Clinchant Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 17* | 2022 |
| Representing deep neural networks latent space geometries with graphs C Lassance, V Gripon, A Ortega Algorithms 14 (2), 39, 2021 | 16 | 2021 |
| Introducing graph smoothness loss for training deep learning architectures M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega 2019 IEEE Data Science Workshop (DSW), 2019 | 16 | 2019 |
| An experimental study on pretraining transformers from scratch for IR C Lassance, H Déjean, S Clinchant European Conference on Information Retrieval, 504-520, 2023 | 12 | 2023 |
| The tale of two MSMARCO-and their unfair comparisons C Lassance, S Clinchant Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| TLDR: Twin learning for dimensionality reduction Y Kalantidis, C Lassance, J Almazan, D Larlus arXiv preprint arXiv:2110.09455, 2021 | 9 | 2021 |
| Ranking deep learning generalization using label variation in latent geometry graphs C Lassance, L Béthune, M Bontonou, M Hamidouche, V Gripon arXiv preprint arXiv:2011.12737, 2020 | 9 | 2020 |
| Matching convolutional neural networks without priors about data CERK Lassance, JC Vialatte, V Gripon 2018 IEEE Data Science Workshop (DSW), 234-238, 2018 | 9 | 2018 |
| Simple yet effective neural ranking and reranking baselines for cross-lingual information retrieval J Lin, D Alfonso-Hermelo, V Jeronymo, E Kamalloo, C Lassance, ... arXiv preprint arXiv:2304.01019, 2023 | 8 | 2023 |
| Naver Labs Europe (SPLADE)@ TREC Deep Learning 2022 C Lassance, S Clinchant arXiv preprint arXiv:2302.12574, 2023 | 8 | 2023 |
| A static pruning study on sparse neural retrievers C Lassance, S Lupart, H Déjean, S Clinchant, N Tonellotto Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Parameter-efficient sparse retrievers and rerankers using adapters V Pal, C Lassance, H Déjean, S Clinchant European Conference on Information Retrieval, 16-31, 2023 | 7 | 2023 |
| Atomic: An image/text retrieval test collection to support multimedia content creation JH Yang, C Lassance, R Sampaio De Rezende, K Srinivasan, M Redi, ... Proceedings of the 46th International ACM SIGIR conference on research and …, 2023 | 6 | 2023 |
Stéphane ClinchantNaver Labs Europe在 naverlabs.com 的电子邮件经过验证
