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20192026
most citedUnraveling the Hidden Environmental Impacts of AI Solutions for Environment

180 citations

Showing cs.AIShow all

7 papers · 1 filter

cs.AI2024

Neurosymbolic Methods for Dynamic Knowledge Graphs

Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris

Knowledge graphs (KGs) have recently been used for many tools and applications, making them rich resources in structured format. However, in the real world, KGs grow due to the add…

cs.AI2024

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally

Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat +1

Machine learning tasks are generally formulated as optimization problems, where one searches for an optimal function within a certain functional space. In practice, parameterized f…

cs.AI2024

mALBERT: Is a Compact Multilingual BERT Model Still Worth It?

Christophe Servan, Sahar Ghannay, Sophie Rosset

Within the current trend of Pretained Language Models (PLM), emerge more and more criticisms about the ethical andecological impact of such models. In this article, considering the…

cs.AI2023★ 1 cited

Efficient Computation of General Modules for ALC Ontologies (Extended Version)

Hui Yang, Patrick Koopmann, Yue Ma +1

We present a method for extracting general modules for ontologies formulated in the description logic ALC. A module for an ontology is an ideally substantially smaller ontology tha…

cs.AI2022★ 2 cited

Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design

Gaëtan Serré, Eva Boguslawski, Benjamin Donnot +3

Current rapid changes in climate increase the urgency to change energy production and consumption management, to reduce carbon and other green-house gas production. In this context…

cs.AI2021

End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings

Théo Deschamps-Berger, Lori Lamel, Laurence Devillers

Recognizing a speaker's emotion from their speech can be a key element in emergency call centers. End-to-end deep learning systems for speech emotion recognition now achieve equiva…