2 papers
cs.CV2026
Radial Basis Function Networks as Projection Heads in Self-Supervised Learning
Andreas Schliebitz, Heiko Tapken, Martin Atzmueller
Self-supervised learning (SSL) typically relies on a backbone encoder followed by a small multilayer perceptron (MLP) projection head, which is conventionally discarded after train…
cs.LG2025
An Empirical Study on Improving SimCLR's Nonlinear Projection Head using Pretrained Autoencoder Embeddings
Andreas Schliebitz, Heiko Tapken, Martin Atzmueller
This paper focuses on improving the effectiveness of the standard 2-layer MLP projection head featured in the SimCLR framework through the use of pretrained autoencoder embeddings.…