Concept
Neuroevolution
Publications associées (40)
Second-order guarantees in centralized, federated and decentralized nonconvex optimization
Rapid advances in data collection and processing capabilities have allowed for the use of increasingly complex models that give rise to nonconvex optimization problems. These formulations, however, can be arbitrarily difficult to solve in general, in the s ...
INT PRESS BOSTON, INC2020The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
The segmentation of the retinal vasculature from eye fundus images represents one of the most fundamental tasks in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures ...
2020Capsule networks, but not convolutional networks explain global configurational visual effects
Michael Herzog, Adrien Christophe Doerig, Alban Bornet
In human vision, perception of local features depends on all elements in the visual field and their exact configuration. For example, observers performed a vernier discrimination task. When a surrounding square was added to the vernier, the task became muc ...
2019Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models
Hervé Bourlard, Afsaneh Asaei, Pranay Dighe
Conventional deep neural networks (DNN) for speech acoustic modeling rely on Gaussian mixture models (GMM) and hidden Markov model (HMM) to obtain binary class labels as the targets for DNN training. Subword classes in speech recognition systems correspond ...
Ieee2017