Author

K. Papadopoulos

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#artificial intelligence Preprint Oct 2026

What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?

Synthetic hard negatives generated in the representation space have proven effective for unimodal self-supervised learning, but transferring this idea to vision-language pretraining is not straightforward. We analyze six representation-space synthesis strategies and identify two failure modes in their transfer to visio...

Nikos Giakoumoglou, Paschalis Giakoumoglou, Andreas Floros et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives

This work introduces ViTAMINS, a method that integrates synthetic hard negatives into unsupervised vision transformer pretraining to improve representation quality and motivate reconsidering contrastive learning as a simpler yet powerful alternative to dominant generative and self-distillation approaches.

Nikos Giakoumoglou, Andreas Floros, K. Papadopoulos et al. · 0 citations