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2020 – today
- 2024
[j6]Thibault Formal
, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
Towards Effective and Efficient Sparse Neural Information Retrieval. ACM Trans. Inf. Syst. 42(5): 116:1-116:46 (2024)- [c74]Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) 2024: 349-363 - [c73]Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance:
SPLATE: Sparse Late Interaction Retrieval. SIGIR 2024: 2635-2640 - [i34]Carlos Lassance, Hervé Déjean, Thibault Formal, Stéphane Clinchant:
SPLADE-v3: New baselines for SPLADE. CoRR abs/2403.06789 (2024) - [i33]Hervé Déjean, Stéphane Clinchant, Thibault Formal:
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE. CoRR abs/2403.10407 (2024) - [i32]Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR abs/2404.13357 (2024) - [i31]Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance:
SPLATE: Sparse Late Interaction Retrieval. CoRR abs/2404.13950 (2024) - [i30]David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant:
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. CoRR abs/2407.01102 (2024) - [i29]Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant, Vassilina Nikoulina:
Retrieval-augmented generation in multilingual settings. CoRR abs/2407.01463 (2024) - [i28]David Rau, Shuai Wang, Hervé Déjean, Stéphane Clinchant:
Context Embeddings for Efficient Answer Generation in RAG. CoRR abs/2407.09252 (2024) - 2023
- [c72]Vaishali Pal, Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. ECIR (2) 2023: 16-31 - [c71]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Query Performance Prediction for Neural IR: Are We There Yet? ECIR (1) 2023: 232-248 - [c70]Simon Lupart, Stéphane Clinchant:
A Study on FGSM Adversarial Training for Neural Retrieval. ECIR (2) 2023: 484-492 - [c69]Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
An Experimental Study on Pretraining Transformers from Scratch for IR. ECIR (1) 2023: 504-520 - [c68]Simon Lupart, Thibault Formal, Stéphane Clinchant:
MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval. ECIR (1) 2023: 636-652 - [c67]Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. ICTIR 2023: 51-63 - [c66]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
On the Limitations of Query Performance Prediction for Neural IR. SEBD 2023: 379-390 - [c65]Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. SIGIR 2023: 1771-1775 - [c64]Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal:
Benchmarking Middle-Trained Language Models for Neural Search. SIGIR 2023: 1848-1852 - [c63]Carlos Lassance, Stéphane Clinchant:
The Tale of Two MSMARCO - and Their Unfair Comparisons. SIGIR 2023: 2431-2435 - [c62]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. SIGIR 2023: 2975-2984 - [i27]Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
An Experimental Study on Pretraining Transformers from Scratch for IR. CoRR abs/2301.10444 (2023) - [i26]Simon Lupart, Stéphane Clinchant:
A Study on FGSM Adversarial Training for Neural Retrieval. CoRR abs/2301.10576 (2023) - [i25]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Query Performance Prediction for Neural IR: Are We There Yet? CoRR abs/2302.09947 (2023) - [i24]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022. CoRR abs/2302.12574 (2023) - [i23]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. CoRR abs/2303.11171 (2023) - [i22]Vaishali Pal, Carlos Lassance, Hervé Déjean, Stéphane Clinchant:
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters. CoRR abs/2303.13220 (2023) - [i21]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) - [i20]Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. CoRR abs/2304.12702 (2023) - [i19]Carlos Lassance, Stéphane Clinchant:
The tale of two MS MARCO - and their unfair comparisons. CoRR abs/2304.12904 (2023) - [i18]Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal:
Benchmarking Middle-Trained Language Models for Neural Search. CoRR abs/2306.02867 (2023) - 2022
- [c61]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
A Study of Lexical Matching in Neural Information Retrieval - Abstract⋆. CIRCLE 2022 - [c60]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. ECIR (2) 2022: 120-127 - [c59]Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. SIGIR 2022: 2220-2226 - [c58]Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). SIGIR 2022: 2232-2236 - [c57]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 - [c56]Carlos Lassance, Stéphane Clinchant:
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. TREC 2022 - [c55]Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stéphane Clinchant:
Learning with Label Noise for Image Retrieval by Selecting Interactions. WACV 2022: 468-477 - [i17]Carlos Lassance, Thibault Formal, Stéphane Clinchant:
Composite Code Sparse Autoencoders for first stage retrieval. CoRR abs/2204.07023 (2022) - [i16]Simon Lupart, Stéphane Clinchant:
Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO. CoRR abs/2205.02870 (2022) - [i15]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) - [i14]Hervé Déjean, Stéphane Clinchant, Jean-Luc Meunier:
LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents. CoRR abs/2206.10304 (2022) - [i13]Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. CoRR abs/2207.03834 (2022) - 2021
- [c54]Shreepriya Shreepriya, Christophe Legras, Stéphane Clinchant, Jutta Willamowski:
Evaluating an Itinerary Recommendation Algorithm for Runners. CHI Extended Abstracts 2021: 328:1-328:6 - [c53]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
Une Analyse du Modèle ColBERT. CORIA 2021 - [c52]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
A White Box Analysis of ColBERT. ECIR (2) 2021: 257-263 - [c51]Alexandre Berard, Dain Lee, Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
Efficient Inference for Multilingual Neural Machine Translation. EMNLP (1) 2021: 8563-8583 - [c50]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 - [c49]Carlos Lassance, Thibault Formal, Stéphane Clinchant:
Composite Code Sparse Autoencoders for First Stage Retrieval. SIGIR 2021: 2136-2140 - [c48]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. SIGIR 2021: 2288-2292 - [c47]Carlos Lassance, Arnaud Sors, Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski:
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. TREC 2021 - [i12]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. CoRR abs/2107.05720 (2021) - [i11]Badr Youbi Idrissi, Stéphane Clinchant:
Masked Adversarial Generation for Neural Machine Translation. CoRR abs/2109.00417 (2021) - [i10]Alexandre Berard, Dain Lee, Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
Efficient Inference for Multilingual Neural Machine Translation. CoRR abs/2109.06679 (2021) - [i9]Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. CoRR abs/2109.10086 (2021) - [i8]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. CoRR abs/2112.05662 (2021) - [i7]Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
A Study on Token Pruning for ColBERT. CoRR abs/2112.06540 (2021) - [i6]Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stéphane Clinchant:
Learning with Label Noise for Image Retrieval by Selecting Interactions. CoRR abs/2112.10453 (2021) - 2020
- [c46]Thibault Formal, Stéphane Clinchant, Jean-Michel Renders, Sooyeol Lee, Geun-Hee Cho:
Learning to Rank Images with Cross-Modal Graph Convolutions. ECIR (1) 2020: 589-604 - [c45]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
Naver Labs Europe @ TREC Deep Learning 2020. TREC 2020 - [i5]Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
A White Box Analysis of ColBERT. CoRR abs/2012.09650 (2020)
2010 – 2019
- 2019
- [c44]Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
On the use of BERT for Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 108-117 - [c43]Jutta Willamowski, Stéphane Clinchant, Christophe Legras, Sofia Michel, Shreepriya Shreepriya:
Running Tour Generation for Unknown Environments. HCI (34) 2019: 528-535 - [i4]Stéphane Clinchant, Hervé Déjean, Jean-Luc Meunier, Eva Maria Lang, Florian Kleber:
Comparing Machine Learning Approaches for Table Recognition in Historical Register Books. CoRR abs/1906.11901 (2019) - [i3]Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
On the use of BERT for Neural Machine Translation. CoRR abs/1909.12744 (2019) - 2018
- [c42]Stéphane Clinchant, Hervé Déjean, Jean-Luc Meunier, Eva Maria Lang, Florian Kleber:
Comparing Machine Learning Approaches for Table Recognition in Historical Register Books. DAS 2018: 133-138 - 2017
- [c41]Gabriela Csurka, Fabien Baradel, Boris Chidlovskii, Stéphane Clinchant:
Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study. ICCV Workshops 2017: 2630-2636 - [p3]Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant:
What to Do When the Access to the Source Data Is Constrained? Domain Adaptation in Computer Vision Applications 2017: 133-149 - [i2]Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant, Sophia Michel:
An Extended Framework for Marginalized Domain Adaptation. CoRR abs/1702.05993 (2017) - 2016
- [c40]Stéphane Clinchant, Gabriela Csurka, Boris Chidlovskii:
A Domain Adaptation Regularization for Denoising Autoencoders. ACL (2) 2016 - [c39]Stéphane Clinchant, Boris Chidlovskii, Gabriela Csurka:
Transductive Adaptation of Black Box Predictions. ACL (2) 2016 - [c38]Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant, Sophia Michel:
Unsupervised Domain Adaptation with Regularized Domain Instance Denoising. ECCV Workshops (3) 2016: 458-466 - [c37]Boris Chidlovskii, Stéphane Clinchant, Gabriela Csurka:
Domain Adaptation in the Absence of Source Domain Data. KDD 2016: 451-460 - 2015
- [j5]Julien Ah-Pine, Gabriela Csurka, Stéphane Clinchant:
Unsupervised Visual and Textual Information Fusion in CBMIR Using Graph-Based Methods. ACM Trans. Inf. Syst. 33(2): 9:1-9:31 (2015) - [c36]Boris Chidlovskii, Gabriela Csurka, Stéphane Clinchant:
Evaluating Stacked Marginalised Denoising Autoencoders Within Domain Adaptation Methods. CLEF 2015: 15-27 - [c35]Gabriela Csurka, Boris Chidlovskii, Stéphane Clinchant:
Adapted Domain Specific Class Means. ICCV Workshops 2015: 80-84 - 2014
- [c34]James Glasnapp, Honglu Du, Christopher R. Dance, Stéphane Clinchant, Alex Pudlin, Daniel Mitchell, Onno Zoeter:
Understanding Dynamic Pricing for Parking in Los Angeles: Survey and Ethnographic Results. HCI (18) 2014: 316-327 - [c33]Onno Zoeter, Christopher R. Dance, Stéphane Clinchant, Jean-Marc Andreoli:
New algorithms for parking demand management and a city-scale deployment. KDD 2014: 1819-1828 - [i1]Gabriela Csurka, Julien Ah-Pine, Stéphane Clinchant:
Unsupervised Visual and Textual Information Fusion in Multimedia Retrieval - A Graph-based Point of View. CoRR abs/1401.6891 (2014) - 2013
- [c32]Stéphane Clinchant, Florent Perronnin:
Aggregating Continuous Word Embeddings for Information Retrieval. CVSM@ACL 2013: 100-109 - [c31]Vassilina Nikoulina, Stéphane Clinchant:
Domain Adaptation of Statistical Machine Translation Models with Monolingual Data for Cross Lingual Information Retrieval. ECIR 2013: 768-771 - [c30]Stéphane Clinchant, Éric Gaussier:
A Theoretical Analysis of Pseudo-Relevance Feedback Models. ICTIR 2013: 6 - [c29]Stéphane Clinchant, Florent Perronnin:
Textual Similarity with a Bag-of-Embedded-Words Model. ICTIR 2013: 25 - 2012
- [j4]Stéphane Clinchant, Éric Gaussier:
Une analyse théorique des modèles de rétro-pertinence. Document Numérique 15(1): 125-146 (2012) - [c28]Gabriela Csurka, Stéphane Clinchant:
An empirical study of fusion operators for multimodal image retrieval. CBMI 2012: 1-6 - [c27]Stéphane Clinchant:
Concavity in IR models. CIKM 2012: 2539-2542 - [p2]Stéphane Clinchant, Éric Gaussier:
Probabilistic Models for Information Retrieval. Textual Information Access: Statistical Models 2012: 3-32 - 2011
- [b1]Stéphane Clinchant:
Modèles probabilistes pour les fréquences de mots et la recherche d'information. (Probabilistic Models of Document Collections). Grenoble Alpes University, France, 2011 - [j3]Stéphane Clinchant, Éric Gaussier:
Modèles de RI fondés sur l'information. Document Numérique 14(2): 103-123 (2011) - [j2]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions a log-logistic model for IR. Inf. Retr. 14(1): 5-25 (2011) - [c26]Gabriela Csurka, Stéphane Clinchant, Guillaume Jacquet:
Medical image modality classification and retrieval. CBMI 2011: 193-198 - [c25]Gabriela Csurka, Stéphane Clinchant, Guillaume Jacquet:
XRCE's Participation at Medical Image Modality Classification and Ad-hoc Retrieval Tasks of Image CLEF2011. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c24]Gabriela Csurka, Stéphane Clinchant, Adrian Popescu:
XRCE's Participation at Wikipedia Retrieval of ImageCLEF 2011. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c23]Stéphane Clinchant, Éric Gaussier:
A Document Frequency Constraint for Pseudo-Relevance Feedback Models. CORIA 2011: 73-88 - [c22]Stéphane Clinchant, Éric Gaussier:
Is Document Frequency Important for PRF? ICTIR 2011: 89-100 - [c21]Stéphane Clinchant, Julien Ah-Pine, Gabriela Csurka:
Semantic combination of textual and visual information in multimedia retrieval. ICMR 2011: 44 - [c20]Stéphane Clinchant, Éric Gaussier:
Do IR models satisfy the TDC retrieval constraint. SIGIR 2011: 1155-1156 - 2010
- [c19]Stéphane Clinchant, Gabriela Csurka, Julien Ah-Pine, Guillaume Jacquet, Florent Perronnin, Jorge Sánchez, Keyvan Minoukadeh:
XRCE's Participation in Wikipedia Retrieval, Medical Image Modality Classification and Ad-hoc Retrieval Tasks of ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c18]Stéphane Clinchant, Éric Gaussier:
Modèles de RI fondés sur l'information. CORIA 2010: 99-114 - [c17]Stéphane Clinchant, Éric Gaussier:
Information-based models for ad hoc IR. SIGIR 2010: 234-241 - [c16]Gabriela Csurka, Florent Perronnin, Luca Marchesotti, Stéphane Clinchant, Julien Ah-Pine:
Fisher Kernel Representation of Images and Some of Its Successful Applications. VISAPP (1) 2010: 21-25 - [p1]Julien Ah-Pine, Stéphane Clinchant, Gabriela Csurka, Florent Perronnin, Jean-Michel Renders:
Leveraging Image, Text and Cross-media Similarities for Diversity-focused Multimedia Retrieval. ImageCLEF 2010: 315-342
2000 – 2009
- 2009
- [j1]Julien Ah-Pine, Marco Bressan, Stéphane Clinchant, Gabriela Csurka, Yves Hoppenot, Jean-Michel Renders:
Crossing textual and visual content in different application scenarios. Multim. Tools Appl. 42(1): 31-56 (2009) - [c15]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions: a log-logistic model for IR. CIKM 2009: 1975-1978 - [c14]Julien Ah-Pine, Stéphane Clinchant, Gabriela Csurka:
Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia Retrieval. CLEF (2) 2009: 124-132 - [c13]Julien Ah-Pine, Stéphane Clinchant, Gabriela Csurka, Yan Liu:
XRCE's Participation in ImageCLEF 2009. CLEF (Working Notes) 2009 - [c12]Stéphane Clinchant, Éric Gaussier:
Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR. ICTIR 2009: 54-65 - 2008
- [c11]Stéphane Clinchant, Éric Gaussier:
Modélisation probabiliste de collections textuelles et distributions de mots. AAFD 2008: 1-20 - [c10]Julien Ah-Pine, Claudio Cifarelli, Stéphane Clinchant, Gabriela Csurka, Jean-Michel Renders:
XRCE's Participation to ImageCLEF 2008. CLEF (Working Notes) 2008 - [c9]Stéphane Clinchant, Jean-Michel Renders:
Multi-language Models and Meta-dictionary Adaptation for Accessing Multilingual Digital Libraries. CLEF 2008: 83-88 - [c8]Stéphane Clinchant, Jean-Michel Renders:
XRCE's Participation to CLEF 2008 Ad-Hoc Track. CLEF (Working Notes) 2008 - [c7]Stéphane Clinchant, Éric Gaussier:
The BNB Distribution for Text Modeling. ECIR 2008: 150-161 - [c6]Stéphane Clinchant, Jean-Michel Renders:
XRCE's Participation to Patent Mining Task at NTCIR-7. NTCIR 2008 - 2007
- [c5]Stéphane Clinchant, Jean-Michel Renders:
Query Translation through Dictionary Adaptation. CLEF 2007: 182-187 - [c4]Stéphane Clinchant, Jean-Michel Renders:
XRCE's Participation to CLEF 2007 Domain-Specific Track. CLEF (Working Notes) 2007 - [c3]Stéphane Clinchant, Jean-Michel Renders, Gabriela Csurka:
Trans-Media Pseudo-Relevance Feedback Methods in Multimedia Retrieval. CLEF 2007: 569-576 - [c2]Stéphane Clinchant, Jean-Michel Renders, Gabriela Csurka:
XRCE's Participation to ImageCLEFphoto 2007. CLEF (Working Notes) 2007 - 2006
- [c1]Stéphane Clinchant, Cyril Goutte, Éric Gaussier:
Lexical Entailment for Information Retrieval. ECIR 2006: 217-228
Coauthor Index
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