Yann LeCun Team’s Barlow Twins Method Boosts SSL in Image Representation via Redundancy Reduction | Synced
Yann LeCun and a team of researchers propose Barlow Twins, a method that learns self-supervised representations through a joint embedding of distorted images, with an objective function that can ma...
Source: Synced | AI Technology & Industry Review
Yann LeCun and a team of researchers propose Barlow Twins, a method that learns self-supervised representations through a joint embedding of distorted images, with an objective function that can make the embedding vectors almost identical while reducing redundancy between their components.