Post-Anomaly Detection Inference for Deep SVDD

arXiv:2609.37935 · stat.ML, cs.LG · Submitted 2026-09-29 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Selective Inference — 29× in this paper
• Post-Selection — 11× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Selection Bias — 7× in this paper · explained in 4 episodes
• Clustering — 5× in this paper · explained in 2 episodes
• Post-Anomaly Detection Inference — 5× in this paper
• Ablation study — 4× in this paper · explained in 1 episode
• Latent Representation — 4× in this paper · explained in 2 episodes
• Support Vector Data Description — 4× in this paper
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Alert Fatigue — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Local Outlier Factor — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes

Sources

• Optimal Inference After Model Selection
• Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
• Valid P-Value for Deep Learning-Driven Salient Region
• Deep Semi-Supervised Anomaly Detection
• Statistical Test for Attention Map in Vision Transformer
• Selective Inference for Change Point Detection in Multi-dimensional Sequences
• Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

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