ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models

arXiv:2605.06943 · cs.LG · Submitted 2026-05-07 · Read on arXiv

cs.LG

Submitted: 2026-05-07

Updated: 2026-10-05

Code: https://github.com/StevenSong/ProtoSSL

Terminology

• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes

Sources

• XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
• Interpretable Image Recognition with Hierarchical Prototypes
• An Overview of Prototype Formulations for Interpretable Deep Learning
• ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
• Emerging Properties in Self-Supervised Vision Transformers
• Contrastive Learning of General-Purpose Audio Representations

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