Locality and compositionality in representation learning for complex visual tasks
L'utilisation d'architectures neuronales profondes associée à des innovations spécifiques telles que les méthodes adversarielles, l’entraînement préalable sur de grands ensembles de données et l'estimation de l'information mutuelle a permis, ces dernières années, de progresser ra...
Main Author: | Sylvain, Tristan |
---|---|
Other Authors: | Bengio, Yoshua |
Format: | Others |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/1866/25594 https://orcid.org/0000-0001-5390-4036 |
Similar Items
-
Learning to sample from noise with deep generative models
by: Bordes, Florian
Published: (2017) -
Real-Time Reinforcement Learning
by: Ramstedt, Simon
Published: (2020) -
Improved training of energy-based models
by: Kumar, Rithesh
Published: (2019) -
Advances in deep learning with limited supervision and computational resources
by: Almahairi, Amjad
Published: (2020) -
Deep Learning for Video Modelling
by: Mastropietro, Olivier
Published: (2018)