Yves Grandvalet

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 19

Top Topics

Semantic Segmentation

Transfer Learning

Convolutional Network

Top Venues

Publications

Philippe Carvalho, Alexandre Durupt, Yves Grandvalet
A Review of Benchmarks for Visual Defect Detection in the Manufacturing Industry. CoRR (2023)
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
Learning from missing data with the binary latent block model. Stat. Comput. 32 (1) (2022)
Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. WACV (2021)
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
Stereotype-aware collaborative filtering. FedCSIS (2021)
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
Co-clustering for Fair Recommendation. PKDD/ECML Workshops (1) (2021)
Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. CoRR (2020)
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
Representation Transfer by Optimal Transport. CoRR (2020)
Xuhong Li, Yves Grandvalet, Franck Davoine
A baseline regularization scheme for transfer learning with convolutional neural networks. Pattern Recognit. 98 (2020)
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
Learning from missing data with the Latent Block Model. CoRR (2020)
Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93 (2020)
Abdelhak Loukkal, Yves Grandvalet, You Li
Disparity weighted loss for semantic segmentation of driving scenes. ITSC (2019)
Xuhong Li, Franck Davoine, Yves Grandvalet
A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes. Intelligent Vehicles Symposium (2018)
Xuhong Li, Yves Grandvalet, Franck Davoine
Explicit Inductive Bias for Transfer Learning with Convolutional Networks. CoRR (2018)
Abdelhak Loukkal, Vincent Frémont, Yves Grandvalet, You Li
Improving semantic segmentation in urban scenes with a cartographic information. ICARCV (2018)
Xuhong Li, Yves Grandvalet, Franck Davoine
Explicit Inductive Bias for Transfer Learning with Convolutional Networks. ICML (2018)
Aurore Lomet, Gérard Govaert, Yves Grandvalet
Model selection for Gaussian latent block clustering with the integrated classification likelihood. Adv. Data Anal. Classif. 12 (3) (2018)
Jean-Michel Bécu, Yves Grandvalet, Christophe Ambroise, Cyril Dalmasso
Beyond support in two-stage variable selection. Stat. Comput. 27 (1) (2017)
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. RecSys (2016)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. J. Artif. Intell. Res. 55 (2016)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases. CoRR (2015)
Jean-Michel Bécu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso
Significance testing for variable selection in high-dimension. CIBCB (2015)
Xiao Liu, Antoine Bordes, Yves Grandvalet
Extracting biomedical events from pairs of text entities. BMC Bioinform. 16 (S10) (2015)
Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. CoRR (2015)
Marta Avalos, Hélène Pouyes, Yves Grandvalet, Ludivine Orriols, Emmanuel Lagarde
Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm. BMC Bioinform. 16 (S-6) (2015)
Xiao Liu, Antoine Bordes, Yves Grandvalet
Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction. EACL (2014)
Marie Szafranski, Yves Grandvalet
KEOPS: Kernels organized into pyramids. ICASSP (2014)
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Optimizing F-Measures by Cost-Sensitive Classification. NIPS (2014)
Marta Avalos, Yves Grandvalet, Hélène Pouyes, Ludivine Orriols, Emmanuel Lagarde
High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies. CIBB (2013)
Xiao Liu, Antoine Bordes, Yves Grandvalet
Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities. BioNLP@ACL (Shared Task) (2013)
Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert
An Efficient Approach to Sparse Linear Discriminant Analysis. ICML (2012)
Aurore Lomet, Gérard Govaert, Yves Grandvalet
An Approximation of the Integrated Classification Likelihood for the Latent Block Model. ICDM Workshops (2012)
Julien Chiquet, Yves Grandvalet, Christophe Ambroise
Inferring multiple graphical structures. Stat. Comput. 21 (4) (2011)
Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
Composite kernel learning. Mach. Learn. 79 (1-2) (2010)
Jean-François Paiement, Yves Grandvalet, Samy Bengio
Predictive models for music. Connect. Sci. 21 (2&3) (2009)
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu
Support Vector Machines with a Reject Option. NIPS (2008)
Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck
A distance model for rhythms. ICML (2008)
Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
Composite kernel learning. ICML (2008)
Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
More efficiency in multiple kernel learning. ICML (2007)
Marta Avalos, Yves Grandvalet, Christophe Ambroise
Parsimonious additive models. Comput. Stat. Data Anal. 51 (6) (2007)
Romain Hérault, Yves Grandvalet
Sparse probabilistic classifiers. ICML (2007)
Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux
Hierarchical Penalization. NIPS (2007)
Romain Hérault, Franck Davoine, Yves Grandvalet
Head and Facial Action Tracking: Comparison of Two Robust Approaches. FGR (2006)
Yves Grandvalet, Johnny Mariéthoz, Samy Bengio
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. NIPS (2005)
Yves Grandvalet, Yoshua Bengio
Semi-supervised Learning by Entropy Minimization. CAP (2005)
Marta Avalos, Yves Grandvalet, Christophe Ambroise
Discrimination par modèles additifs parcimonieux. Rev. d'Intelligence Artif. 19 (4-5) (2005)
Yves Grandvalet, Yoshua Bengio
Semi-supervised Learning by Entropy Minimization. NIPS (2004)
Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet
Recycling experiments for sludge monitoring in waste water treatment. SMC (2) (2004)
Yoshua Bengio, Yves Grandvalet
No Unbiased Estimator of the Variance of K-Fold Cross-Validation. J. Mach. Learn. Res. 5 (2004)
Yves Grandvalet
Bagging Equalizes Influence. Mach. Learn. 55 (3) (2004)
Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion 4 (3) (2003)
Marta Avalos, Yves Grandvalet, Christophe Ambroise
Regularization Methods for Additive Models. IDA (2003)
Yoshua Bengio, Yves Grandvalet
No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS (2003)
Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion 4 (2) (2003)
Yves Grandvalet, Stéphane Canu
Adaptive Scaling for Feature Selection in SVMs. NIPS (2002)
Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise
Boosting Mixture Models for Semi-supervised Learning. ICANN (2001)
Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
Semi-supervised MarginBoost. NIPS (2001)
Yves Grandvalet
Injection de bruit adaptative pour la détermination de variables pertinentes. Rev. d'Intelligence Artif. 15 (3-4) (2001)
Yves Grandvalet
Bagging Can Stabilize without Reducing Variance. ICANN (2001)
Yves Grandvalet
Anisotropic noise injection for input variables relevance determination. IEEE Trans. Neural Networks Learn. Syst. 11 (6) (2000)
Yves Grandvalet
Bagging Down-Weights Leverage Points. IJCNN (4) (2000)
Yves Grandvalet, Stéphane Canu
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS (1998)
Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet
Wavelet Frames Based Estimator. ICANN (1997)
Yves Grandvalet, Stéphane Canu
Adaptive Noise Injection for Input Variables Relevance Determination. ICANN (1997)
Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
Noise Injection: Theoretical Prospects. Neural Comput. 9 (5) (1997)
Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
Control of complexity in learning with perturbed inputs. ESANN (1995)
Yves Grandvalet, Stéphane Canu
Comments on "Noise injection into inputs in back propagation learning". IEEE Trans. Syst. Man Cybern. 25 (4) (1995)