Céline Hudelot

Orcid: 0000-0003-3849-4133

According to our database1, Céline Hudelot authored at least 105 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis.
CoRR, 2024

Neurosymbolic Conformal Classification.
CoRR, 2024

ColPali: Efficient Document Retrieval with Vision Language Models.
CoRR, 2024

Bond Graphs for multi-physics informed Neural Networks for multi-variate time series.
CoRR, 2024

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning.
CoRR, 2024

Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques.
CoRR, 2024

Recommendation of data-free class-incremental learning algorithms by simulating future data.
CoRR, 2024

Improving Neural-based Classification with Logical Background Knowledge.
CoRR, 2024

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism.
CoRR, 2024

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs.
CoRR, 2024

CroissantLLM: A Truly Bilingual French-English Language Model.
CoRR, 2024

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Interpretable Image Classification Through an Argumentative Dialog Between Encoders.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.
CoRR, 2023

AdvisIL - A Class-Incremental Learning Advisor.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Classification automatique de données déséquilibrées et bruitées : application aux exercices de manuels scolaires.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023, 2023

How to Think About Benchmarking Neurosymbolic AI?
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Open-Set Likelihood Maximization for Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

Layout and Activity-based Textbook Modeling for Automatic PDF Textbook Extraction.
Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023 co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

2022
A comparative study of calibration methods for imbalanced class incremental learning.
Multim. Tools Appl., 2022

Leveraging conditional generative models in a general explanation framework of classifier decisions.
Future Gener. Comput. Syst., 2022

Test-Time Adaptation with Principal Component Analysis.
CoRR, 2022

Model-Agnostic Few-Shot Open-Set Recognition.
CoRR, 2022

Optimizing Active Learning for Low Annotation Budgets.
CoRR, 2022

Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data.
CoRR, 2021

Spatial relation learning for explainable image classification and annotation in critical applications.
Artif. Intell., 2021

Spatial Contrastive Learning for Few-Shot Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improving Next-Application Prediction with Deep Personalized-Attention Neural Network.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
Learning More Universal Representations for Transfer-Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Target Consistency for Domain Adaptation: when Robustness meets Transferability.
CoRR, 2020

An Overview of Deep Semi-Supervised Learning.
CoRR, 2020

Active Learning for Imbalanced Datasets.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations.
Proceedings of the WPMVP@PPoPP '20: Sixth Workshop on Programming Models for SIMD/Vector Processing lolocated with the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Robust Domain Adaptation: Representations, Weights and Inductive Bias.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A French Corpus for Event Detection on Twitter.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

AVAE: Adversarial Variational Auto Encoder.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Minority Class Oriented Active Learning for Imbalanced Datasets.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Controlling generative models with continuous factors of variations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Autoregressive Unsupervised Image Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Semi-Supervised Semantic Segmentation With Cross-Consistency Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A New Approach for Explainable Multiple Organ Annotation with Few Data.
CoRR, 2019

Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets.
CoRR, 2019

Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation.
CoRR, 2019

Apprentissage de relations floues pour l'annotation sémantique expliquée avec peu de données.
Proceedings of the Actes des 17èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, 2019

2018
Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics.
Artif. Intell., 2018

A Fuzzy Close Algorithm for Mining Fuzzy Association Rules.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Real-Time Collection of Reliable and Representative Tweets Datasets Related to News Events.
Proceedings of the First International Workshop on Analysis of Broad Dynamic Topics over Social Media (BroDyn 2018) co-located with the 40th European Conference on Information Retrieval (ECIR 2018), 2018

Learning Finer-class Networks for Universal Representations.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Vision-language integration using constrained local semantic features.
Comput. Vis. Image Underst., 2017

MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016
Some Relationships Between Fuzzy Sets, Mathematical Morphology, Rough Sets, F-Transforms, and Formal Concept Analysis.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Diverse Concept-Level Features for Multi-Object Classification.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

2015
3D Mesh Compression: Survey, Comparisons, and Emerging Trends.
ACM Comput. Surv., 2015

Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases.
CoRR, 2015

Relaxation-based revision operators in description logics.
CoRR, 2015

Belief revision in Institutions : A relaxation based approach.
CoRR, 2015

2014
Explanatory Reasoning for Image Understanding Using Formal Concept Analysis and Description Logics.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Building and using fuzzy multimedia ontologies for semantic image annotation.
Multim. Tools Appl., 2014

Fuzzy Ontology Alignment using Background Knowledge.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

ALC(𝔽): A New Description Logic for Spatial Reasoning in Images.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Codage des modèles de tags.
Rev. d'Intelligence Artif., 2013

Construction de hiérarchies sémantiques pour l'annotation d'images.
Rev. d'Intelligence Artif., 2013

Multimedia ontology matching by using visual and textual modalities.
Multim. Tools Appl., 2013

Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images
CoRR, 2013

POMAR: Compression of progressive oriented meshes accessible randomly.
Comput. Graph., 2013

Tag completion based on belief theory and neighbor voting.
Proceedings of the International Conference on Multimedia Retrieval, 2013

Mathematical Morphology Operators over Concept Lattices.
Proceedings of the Formal Concept Analysis, 2013

A fuzzy extension of explanatory relations based on mathematical morphology.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2012
Progressive compression of manifold polygon meshes.
Comput. Graph., 2012

Building Semantic Hierarchies Faithful to Image Semantics.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

Multimodal feature generation framework for semantic image classification.
Proceedings of the International Conference on Multimedia Retrieval, 2012

Bag-of-multimedia-words for image classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Hierarchical image annotation using semantic hierarchies.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Belief Theory for Large-Scale Multi-label Image Classification.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Taylor Prediction for Mesh Geometry Compression.
Comput. Graph. Forum, 2011

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies.
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011

A Framework for a Fuzzy Matching between Multiple Domain Ontologies.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation.
Proceedings of The Eighth International Conference on Concept Lattices and Their Applications, 2011

Towards ontologies for image interpretation and annotation.
Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

2010
Remote scientific visualization of progressive 3D meshes with X3D.
Proceedings of the 3D technologies for the World Wide Web, 2010

Combining Visual and Textual Modalities for Multimedia Ontology Matching.
Proceedings of the Semantic Multimedia, 2010

Ontology matching for the semantic annotation of images.
Proceedings of the FUZZ-IEEE 2010, 2010

Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning.
Proceedings of the ECAI 2010, 2010

2009
Random Accessible Hierarchical Mesh Compression for Interactive Visualization.
Comput. Graph. Forum, 2009

2008
FSRO : une ontologie de relations spatiales floues pour l'interprétation d'images.
Proceedings of the Les Relations Spatiales : de la modélisation à la mise en oeuvre, 2008

Fuzzy spatial relation ontology for image interpretation.
Fuzzy Sets Syst., 2008

2007
Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations.
Proceedings of the IJCAI 2007, 2007

2005
Towards a Cognitive Vision Platform for Semantic Image Interpretation; Application to the Recognition of Biological Organisms.
PhD thesis, 2005

2004
Ontology Based Object Learning and Recognition: Application to Image Retrieval.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003
A Cognitive Vision Platform for Automatic Recognition of Natural Complex Objects.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003


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