AI4AN

Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection, 13 Jul. 2021 (papers)
Our Paper Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection has been accepted at the ICJAI 2021 Workshop for Artificial Intelligence for Anomalies and Novelties. In summary, we investigated the following phenomenon: when you train neural networks several times, and then measure their performance on some task, there is a certain variance in the performance measurements, since the results of experiments may vary based on several factors (that are effectively …
Categories: Anomaly Detection · Reproducibility
252 Words, Tagged with: AI4AN · Anomaly Detection · Reproducibility
Thumbnail for Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection