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Day 15 (7/26/19): Testing Models with Rehearsal and L2-SP Regularization

Today I continued the experiments from yesterday along with implementing a L2SP Model and Partial Rehearsal with Baseline OOD. So far it seems that the performance of every model (both accuracy and area under ROC curve) significantly drops as the number of classes learned increases. Implementing the more complex models such as SLDA, S-SVM, and L2SP (EWC) as well as more accurate inference methods such as Mahalanobis will be a challenge but also interesting to see how well they perform.


The blue line represents the L2SP model and the red line represents the Full Rehearsal model. These have only been trained for around three batches of 20 classes and will continue to learn overnight. However, the performance trend will most likely continue as the accuracy drops with newly added classes.

I also finished my presentation outline today which can be found at this link: RIT Presentation Outline

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