フォロー
Carlos Lassance
Carlos Lassance
その他の名前Carlos Eduardo Rosar Kos Lassance, Carlos Rosar Kos Lassance
Member of Technical Staff at Cohere
確認したメール アドレス: cohere.com - ホームページ
タイトル
引用先
引用先
SPLADE v2: Sparse lexical and expansion model for information retrieval
T Formal, C Lassance, B Piwowarski, S Clinchant
arXiv preprint arXiv:2109.10086, 2021
1532021
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
1102022
An efficiency study for SPLADE models
C Lassance, S Clinchant
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
482022
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
472020
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
372021
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
222021
Representing deep neural networks latent space geometries with graphs
C Lassance, V Gripon, A Ortega
Algorithms 14 (2), 39, 2021
182021
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
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
172019
An experimental study on pretraining transformers from scratch for IR
C Lassance, H Déjean, S Clinchant
European Conference on Information Retrieval, 504-520, 2023
112023
TLDR: Twin learning for dimensionality reduction
Y Kalantidis, C Lassance, J Almazan, D Larlus
arXiv preprint arXiv:2110.09455, 2021
92021
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
92020
Matching convolutional neural networks without priors about data
CERK Lassance, JC Vialatte, V Gripon
2018 IEEE Data Science Workshop (DSW), 234-238, 2018
92018
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
82023
Naver Labs Europe (SPLADE)@ TREC Deep Learning 2022
C Lassance, S Clinchant
arXiv preprint arXiv:2302.12574, 2023
82023
Parameter-efficient sparse retrievers and rerankers using adapters
V Pal, C Lassance, H Déjean, S Clinchant
European Conference on Information Retrieval, 16-31, 2023
72023
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
62023
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
62023
Composite code sparse autoencoders for first stage retrieval
C Lassance, T Formal, S Clinchant
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
62021
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