arxivcs.LG2026-07-08
Converge to Surprise: Evolutionary Self-supervised Image Clustering
Most self-supervised image clustering models, actually almost all deep learning approaches, are based on gradient descent: In order to calculate the loss, every optimization step requires a clearly defined target, whether a contrastive split, a masked patch or entity, an EMA-teac…