JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning

arXiv:2604.21046 · cs.LG · Submitted 2026-04-22 · Read on arXiv

cs.LG

Submitted: 2026-04-22

Updated: 2026-08-26

Terminology

• Semi-supervised Learning — 32× in this paper · explained in 4 episodes
• Accuracy — 29× in this paper · explained in 1 episode
• Pseudo-labels — 21× in this paper · explained in 2 episodes
• Pseudo-labeling — 13× in this paper · explained in 3 episodes
• Regularization — 13× in this paper · explained in 3 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 6× in this paper
• Representation Learning — 6× in this paper · explained in 2 episodes
• Self-Supervised Learning — 6× in this paper · explained in 7 episodes
• Characteristic Function — 5× in this paper
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Decoupling — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Empirical Characteristic Function — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Latent-Euclidean Joint-Embedding Predictive Architectures — 2× in this paper
• Semi-Supervised Learning (SSL) — 2× in this paper · explained in 2 episodes
• Unified Semi-Supervised Learning Benchmark — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Joint Embedding Predictive Architecture — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
• Wide Residual Networks

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