3 papers
cs.LG2018
Training Discriminative Models to Evaluate Generative Ones
Timothée Lesort, Andrei Stoain, Jean-François Goudou +1
Generative models are known to be difficult to assess. Recent works, especially on generative adversarial networks (GANs), produce good visual samples of varied categories of image…
cs.CV2018
Exploring to learn visual saliency: The RL-IAC approach
Celine Craye, Timothee Lesort, David Filliat +1
The problem of object localization and recognition on autonomous mobile robots is still an active topic. In this context, we tackle the problem of learning a model of visual salien…
cs.AI2018
State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1
Representation learning algorithms are designed to learn abstract features that characterize data. State representation learning (SRL) focuses on a particular kind of representatio…