Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Raia Hadsell

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Trends in Cognitive Sciences|November 7, 2020
Embracing Change: Continual Learning in Deep Neural NetworksRaia Hadsell, Dushyant Rao, Andrei A Rusu, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2018
Reply to Huszár: The elastic weight consolidation penalty is empirically validJames Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 16, 2017
Overcoming catastrophic forgetting in neural networksJames Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, et al.
Nature|September 30, 2021
Skilful precipitation nowcasting using deep generative models of radarSuman Ravuri, Karel Lenc, Matthew Willson, et al.
Nature|May 11, 2018
Vector-based navigation using grid-like representations in artificial agentsAndrea Banino, Caswell Barry, Benigno Uria, et al.
Science Robotics|April 10, 2024
Learning agile soccer skills for a bipedal robot with deep reinforcement learningTuomas Haarnoja, Ben Moran, Guy Lever, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Trends in Cognitive Sciences|November 7, 2020
Embracing Change: Continual Learning in Deep Neural NetworksRaia Hadsell, Dushyant Rao, Andrei A Rusu, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2018
Reply to Huszár: The elastic weight consolidation penalty is empirically validJames Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 16, 2017
Overcoming catastrophic forgetting in neural networksJames Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, et al.
Nature|September 30, 2021
Skilful precipitation nowcasting using deep generative models of radarSuman Ravuri, Karel Lenc, Matthew Willson, et al.
Nature|May 11, 2018
Vector-based navigation using grid-like representations in artificial agentsAndrea Banino, Caswell Barry, Benigno Uria, et al.
Science Robotics|April 10, 2024
Learning agile soccer skills for a bipedal robot with deep reinforcement learningTuomas Haarnoja, Ben Moran, Guy Lever, et al.
Pageof 1