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Found 2 papers, 1 papers with code
Detecting Anomalies using Generative Adversarial Networks on Images
Most of the available data in the anomaly detection task is imbalanced as the number of positive/anomalous instances is sparse.
Tuned Compositional Feature Replays for Efficient Stream Learning
To address the limited number of existing online stream learning datasets, we introduce 2 new benchmarks by adapting existing datasets for stream learning.
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