Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

Will LeVine, Benjamin Pikus, Jacob Phillips +3

As deep neural networks become adopted in high-stakes domains, it is crucial to identify when inference inputs are Out-of-Distribution (OOD) so that users can be alerted of likely…