Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Emonet, Rémi"'
Autor:
Chaki, Sayan Kumar, Baltaci, Zeynep Sonat, Vincent, Elliot, Emonet, Remi, Vial-Bonacci, Fabienne, Bahier-Porte, Christelle, Aubry, Mathieu, Fournel, Thierry
This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to book historians: clustering, element discovery, and unsupervised change l
Externí odkaz:
http://arxiv.org/abs/2408.08633
In statistical learning theory, a generalization bound usually involves a complexity measure imposed by the considered theoretical framework. This limits the scope of such bounds, as other forms of capacity measures or regularizations are used in alg
Externí odkaz:
http://arxiv.org/abs/2402.13285
Group fairness is a central research topic in text classification, where reaching fair treatment between sensitive groups (e.g. women vs. men) remains an open challenge. This paper presents a novel method for mitigating biases in neural text classifi
Externí odkaz:
http://arxiv.org/abs/2311.12689
Autor:
Brandao, Eduardo, Nakhoul, Anthony, Duffner, Stefan, Emonet, Rémi, Garrelie, Florence, Habrard, Amaury, Jacquenet, François, Pigeon, Florent, Sebban, Marc, Colombier, Jean-Philippe
Publikováno v:
Physical Review Letters 130.22 (2023): 226201
Ultrafast laser irradiation can induce spontaneous self-organization of surfaces into dissipative structures with nanoscale reliefs. These surface patterns emerge from symmetry-breaking dynamical processes that occur in Rayleigh-B\'enard-like instabi
Externí odkaz:
http://arxiv.org/abs/2310.13453
Autor:
Zantedeschi, Valentina, Viallard, Paul, Morvant, Emilie, Emonet, Rémi, Habrard, Amaury, Germain, Pascal, Guedj, Benjamin
Publikováno v:
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
We investigate a stochastic counterpart of majority votes over finite ensembles of classifiers, and study its generalization properties. While our approach holds for arbitrary distributions, we instantiate it with Dirichlet distributions: this allows
Externí odkaz:
http://arxiv.org/abs/2106.12535
Micro-expressions are brief and subtle facial expressions that go on and off the face in a fraction of a second. This kind of facial expressions usually occurs in high stake situations and is considered to reflect a human's real intent. There has bee
Externí odkaz:
http://arxiv.org/abs/2005.06198
Autor:
Viola, Rémi, Emonet, Rémi, Habrard, Amaury, Metzler, Guillaume, Riou, Sébastien, Sebban, Marc
In this paper, we address the challenging problem of learning from imbalanced data using a Nearest-Neighbor (NN) algorithm. In this setting, the minority examples typically belong to the class of interest requiring the optimization of specific criter
Externí odkaz:
http://arxiv.org/abs/1909.00693
Autor:
Wang, Yichang, Emonet, Rémi, Fromont, Elisa, Malinowski, Simon, Menager, Etienne, Mosser, Loïc, Tavenard, Romain
Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to this representation. However, although the learned shapelets are discrimi
Externí odkaz:
http://arxiv.org/abs/1906.00917
Autor:
Rußwurm, Marc, Courty, Nicolas, Emonet, Rémi, Lefèvre, Sébastien, Tuia, Devis, Tavenard, Romain
Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals recorded in satellite time series data. End-to-end trained deep learning models use this time series data to make predictions at a large scale, for instance
Externí odkaz:
http://arxiv.org/abs/1901.10681
Autor:
Kerdoncuff, Tanguy, Emonet, Rémi
This short article aims at demonstrate that the Intersection over Union (or Jaccard index) is not a submodular function. This mistake has been made in an article which is cited and used as a foundation in another article. The Intersection of Union is
Externí odkaz:
http://arxiv.org/abs/1809.00593