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cs.LG2024
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
Jiaxin Zhuang, Leon Yan, Zhenwei Zhang +3
Time series anomaly detection (TSAD) is becoming increasingly vital due to the rapid growth of time series data across various sectors. Anomalies in web service data, for example,…
cs.LG2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang, Jiaxin Zhuang, Cheng Jin +2
The recent emergence of diffusion models has significantly advanced the precision of learnable priors, presenting innovative avenues for addressing inverse problems. Since inverse…
cs.LG2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
Jiawei Zhang, Yufan Chen, Cheng Jin +2
Out-of-distribution (OOD) detection plays a crucial role in ensuring the security of neural networks. Existing works have leveraged the fact that In-distribution (ID) samples form…