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Carlos Eduardo Rosar Kós Lassance
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2020 – today
- 2024
- [j4]Thibault Formal
, Carlos Lassance
Towards Effective and Efficient Sparse Neural Information Retrieval. ACM Trans. Inf. Syst. 42(5): 116:1-116:46 (2024) - [c32]Carlos Lassance
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) 2024: 349-363 - [c31]Ehsan Kamalloo
Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. SIGIR 2024: 1431-1440 - [c30]Thibault Formal
SPLATE: Sparse Late Interaction Retrieval. SIGIR 2024: 2635-2640 - [c29]Andrew Yates
Neural Lexical Search with Learned Sparse Retrieval. SIGIR-AP 2024: 303-306 - [i37]Carlos Lassance, Hervé Déjean, Thibault Formal, Stéphane Clinchant:
SPLADE-v3: New baselines for SPLADE. CoRR abs/2403.06789 (2024) - [i36]Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR abs/2404.13357 (2024) - [i35]Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance:
SPLATE: Sparse Late Interaction Retrieval. CoRR abs/2404.13950 (2024) - 2023
- [c28]Vaishali Pal
Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. ECIR (2) 2023: 16-31 - [c27]Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
An Experimental Study on Pretraining Transformers from Scratch for IR. ECIR (1) 2023: 504-520 - [c26]Carlos Lassance
A Static Pruning Study on Sparse Neural Retrievers. SIGIR 2023: 1771-1775 - [c25]Hervé Déjean
Benchmarking Middle-Trained Language Models for Neural Search. SIGIR 2023: 1848-1852 - [c24]Carlos Lassance
The Tale of Two MSMARCO - and Their Unfair Comparisons. SIGIR 2023: 2431-2435 - [c23]Jheng-Hong Yang
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. SIGIR 2023: 2975-2984 - [c22]Carlos Lassance, Ronak Pradeep, Jimmy Lin:
Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three - Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc Retrieval. TREC 2023 - [c21]Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin:
TREC2023 AToMiC Overview. TREC 2023 - [i34]Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
An Experimental Study on Pretraining Transformers from Scratch for IR. CoRR abs/2301.10444 (2023) - [i33]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022. CoRR abs/2302.12574 (2023) - [i32]Carlos Lassance:
Extending English IR methods to multi-lingual IR. CoRR abs/2302.14723 (2023) - [i31]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. CoRR abs/2303.11171 (2023) - [i30]Vaishali Pal
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters. CoRR abs/2303.13220 (2023) - [i29]Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR abs/2304.01019 (2023) - [i28]Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin:
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. CoRR abs/2304.01961 (2023) - [i27]Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. CoRR abs/2304.12702 (2023) - [i26]Carlos Lassance, Stéphane Clinchant:
The tale of two MS MARCO - and their unfair comparisons. CoRR abs/2304.12904 (2023) - [i25]Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal:
Benchmarking Middle-Trained Language Models for Neural Search. CoRR abs/2306.02867 (2023) - [i24]Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin:
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. CoRR abs/2306.07471 (2023) - [i23]Haonan Chen, Carlos Lassance, Jimmy Lin:
End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene. CoRR abs/2311.18503 (2023) - 2022
- [j3]Yannis Kalantidis, Carlos Eduardo Rosar Kós Lassance, Jon Almazán, Diane Larlus:
TLDR: Twin Learning for Dimensionality Reduction. Trans. Mach. Learn. Res. 2022 (2022) - [c20]Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. SIGIR 2022: 2220-2226 - [c19]Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). SIGIR 2022: 2232-2236 - [c18]Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. SIGIR 2022: 2353-2359 - [c17]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. TREC 2022 - [c16]Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC 2022 - [i22]Carlos Lassance, Thibault Formal, Stéphane Clinchant:
Composite Code Sparse Autoencoders for first stage retrieval. CoRR abs/2204.07023 (2022) - [i21]Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. CoRR abs/2205.04733 (2022) - [i20]Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. CoRR abs/2207.03834 (2022) - 2021
- [j2]Carlos Lassance
Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms 14(2): 39 (2021) - [j1]Carlos Lassance, Yasir Latif, Ravi Garg
Improved Visual Localization via Graph Filtering. J. Imaging 7(2): 20 (2021) - [c15]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy With Graph Filtering. ICIP 2021: 334-338 - [c14]Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein:
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys 2021: 780-782 - [c13]Carlos Lassance, Thibault Formal, Stéphane Clinchant:
Composite Code Sparse Autoencoders for First Stage Retrieval. SIGIR 2021: 2136-2140 - [c12]Carlos Lassance, Arnaud Sors, Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski:
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. TREC 2021 - [i19]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy with Graph Filtering. CoRR abs/2101.04789 (2021) - [i18]Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. CoRR abs/2109.10086 (2021) - [i17]Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon:
Graphs as Tools to Improve Deep Learning Methods. CoRR abs/2110.03999 (2021) - [i16]Yannis Kalantidis, Carlos Lassance, Jon Almazán, Diane Larlus:
TLDR: Twin Learning for Dimensionality Reduction. CoRR abs/2110.09455 (2021) - [i15]Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
A Study on Token Pruning for ColBERT. CoRR abs/2112.06540 (2021) - 2020
- [b1]Carlos Eduardo Rosar Kós Lassance:
Graphs for deep learning representations. (Graphes pour représenter les espaces latents des réseaux neuronaux profonds). IMT Atlantique, France, 2020 - [c11]Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep Geometric Knowledge Distillation with Graphs. ICASSP 2020: 8484-8488 - [c10]Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio:
Attention Based Pruning for Shift Networks. ICPR 2020: 4054-4061 - [c9]Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph Topology Inference Benchmarks for Machine Learning. MLSP 2020: 1-6 - [c8]Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio:
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) 2020: 170-190 - [i14]Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph topology inference benchmarks for machine learning. CoRR abs/2007.08216 (2020) - [i13]Carlos Lassance, Vincent Gripon, Antonio Ortega:
Representing Deep Neural Networks Latent Space Geometries with Graphs. CoRR abs/2011.07343 (2020) - [i12]Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon:
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR abs/2011.12737 (2020) - [i11]Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene:
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR abs/2012.01509 (2020) - [i10]Carlos Lassance:
Graphs for deep learning representations. CoRR abs/2012.07439 (2020)
2010 – 2019
- 2019
- [c7]Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega:
Structural Robustness for Deep Learning Architectures. DSW 2019: 125-129 - [c6]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW 2019: 160-164 - [i9]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR abs/1905.00301 (2019) - [i8]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
A Unified Deep Learning Formalism For Processing Graph Signals. CoRR abs/1905.00496 (2019) - [i7]Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio:
Attention Based Pruning for Shift Networks. CoRR abs/1905.12300 (2019) - [i6]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia:
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR abs/1908.06868 (2019) - [i5]Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega:
Structural Robustness for Deep Learning Architectures. CoRR abs/1909.05095 (2019) - [i4]Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid:
Improved Visual Localization via Graph Smoothing. CoRR abs/1911.02961 (2019) - [i3]Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep geometric knowledge distillation with graphs. CoRR abs/1911.03080 (2019) - 2018
- [c5]Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
Matching Convolutional Neural Networks without Priors about Data. DSW 2018: 234-238 - [c4]Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon:
Graph-Projected Signal Processing. GlobalSIP 2018: 763-767 - [i2]Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
Matching Convolutional Neural Networks without Priors about Data. CoRR abs/1802.09802 (2018) - [i1]Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega:
Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. CoRR abs/1805.10133 (2018) - 2017
- [c3]Max Raphael Sobroza Marques, Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Pierre-Henri Horrein:
Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU. HPCS 2017: 553-559 - 2016
- [c2]Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou:
Assembly output codes for learning neural networks. ISTC 2016: 285-289 - 2015
- [c1]Sébastien Gambs, Carlos Eduardo Rosar Kós Lassance, Cristina Onete:
The Not-so-Distant Future: Distance-Bounding Protocols on Smartphones. CARDIS 2015: 209-224
Coauthor Index
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