DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

12 Apr 2021 Andrei Manolache Florin Brad Elena Burceanu

Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods. Recent deep methods for anomalies in images learn better features of normality in an end-to-end self-supervised setting... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Anomaly Detection AG News DATE AUROC 90 # 1

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