Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Chesneau, Nicolas"'
Supply optimization is a complex and challenging task in the magazine retail industry because of the fixed inventory assumption, irregular sales patterns, and varying product and point-of-sale characteristics. We introduce AthenIA, an industrialized
Externí odkaz:
http://arxiv.org/abs/2408.08637
Autor:
Bhan, Milan, Vittaut, Jean-Noel, Achache, Nina, Legrand, Victor, Chesneau, Nicolas, Blangero, Annabelle, Murris, Juliette, Lesot, Marie-Jeanne
Toxicity mitigation consists in rephrasing text in order to remove offensive or harmful meaning. Neural natural language processing (NLP) models have been widely used to target and mitigate textual toxicity. However, existing methods fail to detoxify
Externí odkaz:
http://arxiv.org/abs/2405.09948
This paper provides a comprehensive review of deep structural causal models (DSCMs), particularly focusing on their ability to answer counterfactual queries using observational data within known causal structures. It delves into the characteristics o
Externí odkaz:
http://arxiv.org/abs/2405.05025
This research paper investigates public views on climate change and biodiversity loss by analyzing questions asked to the ClimateQ&A platform. ClimateQ&A is a conversational agent that uses LLMs to respond to queries based on over 14,000 pages of sci
Externí odkaz:
http://arxiv.org/abs/2403.14709
Incorporating natural language rationales in the prompt and In-Context Learning (ICL) have led to a significant improvement of Large Language Models (LLMs) performance. However, generating high-quality rationales require human-annotation or the use o
Externí odkaz:
http://arxiv.org/abs/2402.12038
Counterfactual examples explain a prediction by highlighting changes of instance that flip the outcome of a classifier. This paper proposes TIGTEC, an efficient and modular method for generating sparse, plausible and diverse counterfactual explanatio
Externí odkaz:
http://arxiv.org/abs/2304.12425
Attention mechanisms have played a crucial role in the development of complex architectures such as Transformers in natural language processing. However, Transformers remain hard to interpret and are considered as black-boxes. This paper aims to asse
Externí odkaz:
http://arxiv.org/abs/2303.15190
Autor:
Chesneau, Nicolas
L'accroissement rapide des données numériques vidéographiques fait de la compréhension automatiquedes vidéos un enjeu de plus en plus important. Comprendre de manière automatique une vidéo recouvrede nombreuses applications, parmi lesquelles l
Externí odkaz:
http://www.theses.fr/2018GREAM007/document
In this paper, we propose a new framework for action localization that tracks people in videos and extracts full-body human tubes, i.e., spatio-temporal regions localizing actions, even in the case of occlusions or truncations. This is achieved by tr
Externí odkaz:
http://arxiv.org/abs/1707.06005
Publikováno v:
Nutrients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::e6ba20eb01216b0601664ff6f751dd89
