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07/27/2022
Structural Similarity for Improved Transfer in Reinforcement Learning
Transfer learning is an increasingly common approach for developing perf...
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01/28/2022
Geometric instability of out of distribution data across autoencoder architecture
We study the map learned by a family of autoencoders trained on MNIST, a...
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01/27/2022
Eigenvalues of Autoencoders in Training and at Initialization
In this paper, we investigate the evolution of autoencoders near their i...
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07/13/2021