Divergence-Based Similarity Function for Multi-View Contrastive Learning

arXiv:2507.06560 · cs.CV, cs.LG · Submitted 2025-07-09 · Read on arXiv

cs.CV, cs.LG

Submitted: 2025-07-09

Updated: 2026-09-10

Comments: 9 pages, 5 figures. Code and Pretrained Model: https://github.com/Jeon789/DSF, v4: Removed erroneous AAAI copyright notice

Journal ref: Advances in Knowledge Discovery and Data Mining (PAKDD 2026), LNAI 16598, pp. 54-66, Springer, 2026

DOI: 10.1007/978-981-92-1462-4_5

Code: https://github.com/Jeon789/DSF

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Contrastive Learning — 20× in this paper · explained in 5 episodes
• Cosine Similarity — 18× in this paper · explained in 3 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Transfer Learning — 10× in this paper · explained in 10 episodes
• Divergence-based Similarity Function — 9× in this paper
• Robustness — 7× in this paper · explained in 5 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Distribution Shift — 5× in this paper · explained in 5 episodes
• Self-Supervised Learning — 5× in this paper · explained in 7 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• National Research Foundation of Korea — 1× in this paper
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Improved Baselines with Momentum Contrastive Learning
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
• von Mises-Fisher distributions and their statistical divergence
• Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
• Fine-Grained Visual Classification of Aircraft
• Representation Learning with Contrastive Predictive Coding
• Contrasting Multiple Representations with the Multi-Marginal Matching Gap
• Poly-View Contrastive Learning
• Temperature as Uncertainty in Contrastive Learning

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