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9 Dec 2022: Train T1/Test T1 Train T2/Test T1 Train T2/Test T2. • Continual Learning (CL) requires balance between:• Plasticity (Catastrophic Forgetting)• Stability (Inability to adapt).

6 Nov 2019: The objective is topredict the value f(x) for a test data point x. ... The predictive distribution gives the dataspace representation for a test latent space point.

30 Oct 2019: 30. 5.3 Pose data: average ELBO over the test set (175,638 samples). ... 5.9 Pose data: average ELBO over the test set (175,638 samples).

6 Nov 2019: The smaller network can then be used for fast approximations to theBayesian teacher network at test time. ... This results in high storage savings, however at test time,the full weight matrix needs to be restored again, resulting in no memory savings.

6 Nov 2019: 437.6 Test gap (train evidence - test evidence) at peak test performance of SP-VAE vs VAE. ... Notice the green curve. 487.10 Test evidence on SVHN against fraction of SPN parameters in sum nodes.

30 Oct 2019: They apply their method to few-shot classi-fication as an example test bed. ... Additionally to test accuracies, we also report the. 3.2 Implementation and experimental setup 27.

6 Nov 2019: Figure 1d shows the average cross entropy for theheld-out test data as a function of the differentdatasets and stochastic variable dimension.

6 Nov 2019: 374.5 Fidelity test for fake feature maps generated by unconditional GANs: ’aa’. ... aa’ ). 354.3 Classification accuracies for CGANs’ samples and TIMIT test set (phone:.

6 Nov 2019: Success rate of adversarial examples. • Model accuracy vs. % adversarial examples in test set. •

30 Oct 2019: 446.5 Comparison of development and test PPL values of the TF-RNNLM. ... TF-RNNLM-GRU). 486.8 Development and Test PPL for each of the dierent systems.