Research map / Label-efficient and robust learning / OOD and anomaly detection
Two-Layer Convolutional Autoencoders Trained on Normal Data Provably Detect Unseen Anomalies
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Closest papers by meaning
- MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection (AAAI 2026 · similarity 0.89)
- Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features (NeurIPS 2020 · similarity 0.88)
- Learning Memory-Guided Normality for Anomaly Detection (CVPR 2020 · similarity 0.88)
- Long-Tailed Anomaly Detection with Learnable Class Names (CVPR 2024 · similarity 0.87)
- ResAD: A Simple Framework for Class Generalizable Anomaly Detection (NeurIPS 2024 · similarity 0.86)
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