Lars Buesing

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

2022 · arXiv (Cornell University)

Despite recent progress made by self-supervised methods in representation learning with residual networks, they still underperform supervised learning on the ImageNet classification benchmark, limiting their applicability in performance-critical settings. Building on prior theoretical insights from …