Supplementary Materials for Exemplar V AE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation A Exemplar V AE samples MNIST Fashion MNIST Omniglot CelebA

Figure 1: Random samples drawn from Exemplar V AEs trained on different datasets. Exemplar V AE are generated and shown. Define Cache: initialize cache = [] insert( i, c): insert value c with index i into cache update( i, c): update the value of index i to c kNN(c): return indices of kNNs of c in cache for n in {1,...,N } do Cache.insert( Table 1: The number of active dimensions computed based on a metric proposed by Burda et. The exemplar V AE generates a new sample by stochastically transforming an exemplar.