443 citations
- Centre National de la Recherche ScientifiqueFR470 papers
- École PolytechniqueFR434 papers
- Université Paris-SaclayFR210 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR177 papers
- Centre de Physique ThéoriqueFR131 papers
- Télécom SudParisFR124 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR123 papers
- Laboratoire Leprince-RinguetFR123 papers
- Massachusetts Institute of TechnologyUS120 papers
- Télécom ParisFR115 papers
- Tsinghua UniversityCN109 papers
- Peking UniversityCN108 papers
7 papers · 2 filters
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier, Pietro Gori, Julie Victor +2
Contrastive Learning has shown impressive results on natural and medical images, without requiring annotated data. However, a particularity of medical images is the availability of…
Maximizing Influence with Graph Neural Networks
George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis +1
Finding the seed set that maximizes the influence spread over a network is a well-known NP-hard problem. Though a greedy algorithm can provide near-optimal solutions, the subproble…
HEMP: High-order Entropy Minimization for neural network comPression
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti +2
We formulate the entropy of a quantized artificial neural network as a differentiable function that can be plugged as a regularization term into the cost function minimized by grad…
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Zhiyuan Wang, Haoyi Xiong, Jie Zhang +5
Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote h…
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Anas Barakat, Pascal Bianchi, Julien Lehmann
Actor-critic methods integrating target networks have exhibited a stupendous empirical success in deep reinforcement learning. However, a theoretical understanding of the use of ta…
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei, Hussain Alattas, Nesrine Kaaniche
We show that a modification of the first layer of a Graph Convolutional Network (GCN) can be used to effectively propagate label information across neighbor nodes, for binary and m…